Databricks

Selling data and AI solutions to high-growth, venture-backed companies, expanding existing accounts, and communicating value to C-level executives. | 5+ years of experience with open source technologies, cloud, SaaS sales, and proven success in exceeding sales quotas. | SLSQ127R491 As a Named Core Digital Native Account Executive at Databricks, you are passionate about selling to high-growth, venture-backed companies. You will sell to the most technologically advanced companies in the world. You know how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. You will be over enterprise accounts, and will be responsible for expanding consumption within existing business. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. The impact you will have: You will have a direct influence on the data strategy of the most disruptive companies today You will communicate account strategy to Databricks Senior Leadership on a regular basis You will allocate Databricks resources to break into new accounts and grow existing accounts Meet with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes Exceed activity, pipeline, and revenue targets You will use a creative, fail-fast approach to selling and creating value for customers You will build a plan for success internally at Databricks and externally with your accounts What we look for: Passion for selling a highly technical product in the cloud 5+ years of experience with Open Source Technologies and build vs buy decision-making 5 - 8 years of experience with Value Selling Methodologies A creative salesperson with a well-defined prospecting motion Sales experience within big data, Cloud, or SaaS sales Proven years of experience exceeding sales quotas Success closing new accounts while working on existing accounts Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $245,300—$343,475 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Selling to high-growth, venture-backed companies by understanding their data needs and demonstrating the value of Databricks' platform. | 4+ years of experience with open source technologies, cloud or SaaS sales, and proven success exceeding quotas, with a creative prospecting approach. | SLSQ227R273 As a Geo Core Digital Native Account Executive at Databricks, you are passionate about selling to high-growth, venture-backed companies. You will sell to the most technologically advanced companies in the world. You know how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. You will be over enterprise accounts, and will be responsible for expanding consumption within existing business. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. The impact you will have: You will have a direct influence on the data strategy of the most disruptive companies today You will communicate account strategy to Databricks Senior Leadership on a regular basis You will allocate Databricks resources to break into new accounts and grow existing accounts Meet with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes Exceed activity, pipeline, and revenue targets You will use a creative, fail-fast approach to selling and creating value for customers You will build a plan for success internally at Databricks and externally with your accounts What we look for: Passion for selling a highly technical product in the cloud 4+ years of experience with Open Source Technologies and build vs buy decision-making 4 - 8 years of experience with Value Selling Methodologies A creative salesperson with a well-defined prospecting motion Sales experience within big data, Cloud, or SaaS sales Proven years of experience exceeding sales quotas Success closing new accounts while working on existing accounts Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $194,600—$272,375 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Architect and operationalize industry partner relationships, develop scalable GTM programs, and drive ecosystem growth. | Extensive experience in GTM programs, partner ecosystems, and enterprise software, with strategic and operational expertise. | SLSQ127R568 Scale partnerships that build the business. This role exists at the intersection of strategy and execution, relationships and revenue. As the Industry Ecosystem Leader for Consumer Industries, you will architect and operationalize the industry partner relationships that accelerate how Databricks wins in the market. You won't just develop partnerships—you'll translate them into scalable programs that put the right solutions in front of customers at the right time. Databricks is scaling at hypergrowth speed, and our partner ecosystem is a force multiplier we've only begun to unlock. We need someone who understands how industries actually work—who the established players are, which emerging ISVs are reshaping categories, and which system integrators can drive transformation at scale. More importantly, we need someone who can convert that knowledge into repeatable GTM motions that drive pipeline, accelerate deals, and increase platform adoption in ways that are aligned with key industry outcomes. You will operate as a builder in a company that rewards builders. You’ll build the playbooks. The programs you create will define how we go to market with partners for years to come. The impact you will have: You Will Build: An Ecosystem Strategy Rooted in Industry Reality Map the partner landscape with precision—established enterprise vendors, emerging category creators, global SIs, boutique consultancies, and cloud partners. Understand where value is created, where influence resides, and where Databricks fits in the solutions our customers need. Then build a strategy that prioritizes the relationships that matter most. Scalable Partner-Led Sales Plays Design and deploy GTM programs that translate partner capabilities into customer value. You'll create the assets, frameworks, and activation motions that enable field teams to lead with partner relevance—positioning joint solutions that solve real industry problems and accelerate buying decisions. Programmatic Pipeline Generation Build repeatable engines that generate measurable pipeline through partner channels. You'll orchestrate cross-functional teams, selling tools, and data science to deliver programs that drive substantial and incremental business lift—not one-off wins, but systematic growth. Field Adoption at Scale Partner with Sales and Field Engineering leaders to drive adoption of ecosystem programs. Your success will be measured not by the elegance of your strategy decks, but by whether field teams actually use what you build—and whether it makes them more effective. Cross-Functional Alignment Harmonize ecosystem strategies across Industries, Sales, Field Engineering, Marketing, Enablement, and Partner teams. You'll be the connective tissue that ensures cohesive execution and eliminates the friction that slows complex organizations. Data-Driven Optimization Monitor program performance with rigor. Surface insights that inform prioritization, identify what's working, and drive continuous improvement. You'll bring analytical discipline to a function that often operates on intuition alone. Executive-Level Partnership Development Engage VP+ stakeholders at strategic partners to build the executive relationships that unlock joint investment, co-selling commitment, and market access. These relationships will be built on substance and mutual value, not just social capital. What we look for: An Industry Native You understand how your industry actually operates—the buying dynamics, the technology landscape, the regulatory environment, and the ecosystem players who shape customer decisions. This isn't knowledge you can acquire from briefing documents; it comes from years of proximity to the market. A Partner Ecosystem Strategist You've built or scaled partner programs at a hypergrowth software company. You know the difference between partnerships that look good in press releases and partnerships that generate revenue. You've learned—probably the hard way—what it takes to make joint GTM actually work. A Program Builder, Not a Program Manager You don't wait for requirements to be handed to you. You see opportunities, design programs to capture them, and drive execution through influence rather than authority. You're energized by creating something from nothing. Analytically Rigorous You're fluent in reporting, comfortable in Excel, and capable of extracting insights from complex data is a plus. You make decisions based on evidence, not assumptions. A Field Whisperer You know how to build programs that sales teams actually adopt. You understand their incentives, their constraints, and their daily reality. You design with the field in mind, and you earn their trust by making them more successful. An Executive Communicator You deliver compelling presentations to C-suite stakeholders and tailor your messaging to resonate with different audiences. You can move seamlessly from a detailed program review to a strategic partner conversation. Comfortable in Ambiguity You've operated in fast-paced environments where the path wasn't paved. You make decisions with incomplete information, move quickly, and course-correct based on market feedback. Experienced at Scale 10+ years of experience in GTM programs, partner ecosystems, management consulting, or enterprise software, with a proven ability to deliver strategic and tactical business objectives. Bachelor's degree required; MBA or advanced degree preferred. Why This Role, Why Now The partner ecosystem is one of the most under-leveraged assets in enterprise software. Companies build impressive partner rosters and announce strategic alliances, but few translate those relationships into systematic revenue impact. We intend to be different. This role offers a rare combination: the strategic scope to shape how Databricks goes to market with partners, and the operational mandate to build the programs that make it real. You'll work at VP+ levels across the organization, influence how we engage our most important ecosystem relationships, and create scalable motions that drive measurable growth. If you want to manage existing partnerships and optimize incremental improvements, this isn't the role. If you want to build the ecosystem GTM function that becomes a model for the industry, let's talk. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $281,900—$394,625 USD Zone 2 Pay Range $281,900—$394,625 USD Zone 3 Pay Range $281,900—$394,625 USD Zone 4 Pay Range $281,900—$394,625 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Manage and grow large healthcare accounts by selling Databricks' enterprise cloud data platform, building relationships with CIOs and IT executives, and closing complex sales cycles. | 7+ years of sales experience exceeding quotas, experience in big data, cloud, SaaS sales, managing large healthcare accounts, and familiarity with Spark and big data technologies. | SLSQ327R59 As an Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into Large Healthcare accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to maintain and grow existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment. The impact you will have: Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners Close both new accounts and existing accounts Identify and close quick, small wins while managing longer, complex sales cycles Exceed activity, pipeline, and revenue targets Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce Use a solution-based approach to selling and creating value for customers Promote Databricks' enterprise cloud data platform powered by Apache Spark™ Ensure 100% satisfaction among all customers Prioritize opportunities and applying appropriate resources Build a plan for success internally at Databricks and externally with your accounts What we look for: You have previously worked in an early stage company and you know how to navigate and be successful Field sales experience within big data, Cloud, or SaaS sales Experience managing large, complex Healthcare accounts is preferred. Prior customer relationships with CIOs, program managers, and essential decision makers Simply articulate intricate cloud technologies 7+ years experience exceeding sales quotas Success closing new accounts while working existing accounts Understanding of Spark and big data preferable Passion for cloud technologies Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $245,300—$343,475 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Lead cross-functional strategic initiatives, design scalable processes, and drive operational improvements to support business growth. | Requires 10+ years of experience in strategic initiatives, process improvement, and stakeholder influence, with a background in enterprise software or SaaS preferred. | GAQ326R277 Databricks is seeking a Strategy and Execution Director to operationalize the Databricks corporate strategy by leading the design, implementation and optimization of processes, and engagement models. In this role, you will drive cross functional alignment to scale the business for continued hyper-growth. Successful candidates for the role will possess both a strategic business outlook, ability to design processes to scale and the keen analytical skills to be able to look at the data into the details and requirements of various strategic initiatives, while understanding the bigger picture and business objectives. We are building a team that is more interested in getting it right than being right. We care more about winning the game than who scored the points. The Impact You Will Have • Identifies opportunities and drives cross-functional outcomes to grow and scale Databricks • Lead discovery and problem validation by assessing current-state, identifying decision points, and grounding opportunities in data, personas, and critical user or business journeys • Frame and prioritize opportunities by testing assumptions, identifying high-impact levers, and aligning stakeholders on target-state outcomes • Design E2E scalable target-state operations weaving together process design, operating model definition, automation, and/or AI levers to optimize your answer • Translate strategy into action through pilots and prototypes, rapidly testing hypotheses, failing fast, and iterating based on feedback and measurable results • Own operationalizing and delivering on the business outcome in conjunction with cross functional business partners, while driving alignment with senior leadership • Measure quantifiable impact of the outcomes implemented and create well defined KPIs to ensure successful execution of transformations and sustainable improvement What We Look For • 10+ years of experience in driving strategic initiatives across many functions, influencing stakeholders VP+ • Experience in business process improvement, business transformations or corporate strategy with time at a top tier consulting firm is a plus. • Consultative approach, including ability to analyze process flows and identify operational metrics • Take a tailored approach to meet the customer / business needs by adjusting behavior and outcomes based on the dynamics of the team, stakeholder, and program situation(s) • Advanced research and analysis skills that you can flex to address a complex problem and/or situation • Demonstrate an advanced ability to define and break down ambiguous and complex business problems into structured hypotheses, pilots, and scalable solutions • Communicate complex ideas with authority, influencing stakeholders including Databricks executives and department leadership. • Experience in the enterprise software industry, SaaS and B2B experience preferred. • Be self-driven, and show ability to drive decisions on ambiguous asks with incomplete data • Comfortable and thrive in a rapidly scaling and dynamic startup environment • Bachelor's Degree required Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $218,800—$306,250 USD Zone 2 Pay Range $196,900—$275,650 USD Zone 3 Pay Range $185,900—$260,300 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Lead and develop a high-performing team of Data & AI solution architects to drive retail data initiatives from concept to production. | Deep experience in cloud data architecture, leadership in technical roles, and retail industry knowledge are required, which are not evident in your resume. | This a Full Remote job, the offer is available from: United States FEQ127R250 Location: Remote or Major Metro Area (Up to 30% Travel) Reports to: Sr. Director / Tech GM of Field Engineering The Role As a Director of Delivery Solution Architects (DSA), you will lead a high-impact team of technical success leaders dedicated to our Retail, Consumer Goods and Travel & Hospitality customers. Your mission is to ensure that complex Data and AI initiatives—from supply chain optimization to personalized customer experiences—move from concept to production as efficiently as possible. In this role, you will bridge the gap between technical strategy and long-term value. You will lead managers and a growing team of DSAs, serving as a technical executive sponsor for our most strategic retail accounts. You will be responsible for shaping the post-sales execution strategy, driving platform adoption, and helping retailers modernize their data stack using the Databricks Data Intelligence Platform. The Impact You Will Have • Leadership & Development: Recruit, coach, and scale a diverse, high-performing team of DSAs and managers. Foster a culture of psychological safety, collaboration, and customer obsession. • Post-Sales Strategy: Define and monitor the execution strategy for the Retail vertical. Partner closely with Sales, Solutions Architecture, and Professional Services to accelerate time-to-value for customers. • Technical Excellence: Keep your team at the forefront of the Retail Data+AI landscape, including Data Lakehouse architecture, real-time analytics, and Machine Learning. Ensure the team advises customers on the most durable and scalable architectures. • Operational Excellence: Drive consistency and efficiency by developing internal playbooks and assets for the DSA practice. Monitor customer health, project progress, and manage a high-quality hiring pipeline. • Executive Partnership: Act as a trusted advisor to CTOs and CDOs, guiding strategic data decisions and serving as a thought leader in the Retail technology ecosystem. • Issue Resolution: Work cross-functionally to remove technical blockers and address challenges, ensuring smooth project delivery and long-term customer satisfaction. What We Look For • Leadership Experience: 7+ years of experience in customer-facing technical roles, including 3+ years of leadership experience managing other managers. Proven ability to lead and empower large technical organizations. • Technical Domain Expertise: Deep experience in cloud technologies, specifically Data Engineering, Data Warehousing, and AI/Machine Learning. • Retail Industry Knowledge: Conversant with the business challenges retailers face today, such as inventory management, demand forecasting, and omni-channel customer journeys. • Delivery Success: Proven track record in the deployment of production-grade data products. You are an expert at guiding architecture discussions and creating clear project execution plans. • Business Acumen: Ability to engage at the executive level and drive growth within complex strategic accounts (e.g., managing accounts with $5M+ in Annual Recurring Revenue). • Collaborative Spirit: A track record of building strong partnerships with Sales, Engineering, and Marketing to deliver tangible customer results. • Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. This offer from "Databricks" has been enriched by Jobgether.com and got a 77% flex score.

Lead and develop a high-performing team of Data & AI solution architects, define and execute post-sales data platform strategies, and serve as a trusted advisor to retail industry executives. | Deep experience in cloud data technologies, proven leadership in managing large technical teams, and retail industry knowledge, with a track record of deploying production-grade data products. | FEQ127R250 Location: Remote or Major Metro Area (Up to 30% Travel) Reports to: Sr. Director / Tech GM of Field Engineering The Role As a Director of Delivery Solution Architects (DSA), you will lead a high-impact team of technical success leaders dedicated to our Retail, Consumer Goods and Travel & Hospitality customers. Your mission is to ensure that complex Data and AI initiatives—from supply chain optimization to personalized customer experiences—move from concept to production as efficiently as possible. In this role, you will bridge the gap between technical strategy and long-term value. You will lead managers and a growing team of DSAs, serving as a technical executive sponsor for our most strategic retail accounts. You will be responsible for shaping the post-sales execution strategy, driving platform adoption, and helping retailers modernize their data stack using the Databricks Data Intelligence Platform. The Impact You Will Have • Leadership & Development: Recruit, coach, and scale a diverse, high-performing team of DSAs and managers. Foster a culture of psychological safety, collaboration, and customer obsession. • Post-Sales Strategy: Define and monitor the execution strategy for the Retail vertical. Partner closely with Sales, Solutions Architecture, and Professional Services to accelerate time-to-value for customers. • Technical Excellence: Keep your team at the forefront of the Retail Data+AI landscape, including Data Lakehouse architecture, real-time analytics, and Machine Learning. Ensure the team advises customers on the most durable and scalable architectures. • Operational Excellence: Drive consistency and efficiency by developing internal playbooks and assets for the DSA practice. Monitor customer health, project progress, and manage a high-quality hiring pipeline. • Executive Partnership: Act as a trusted advisor to CTOs and CDOs, guiding strategic data decisions and serving as a thought leader in the Retail technology ecosystem. • Issue Resolution: Work cross-functionally to remove technical blockers and address challenges, ensuring smooth project delivery and long-term customer satisfaction. What We Look For • Leadership Experience: 7+ years of experience in customer-facing technical roles, including 3+ years of leadership experience managing other managers. Proven ability to lead and empower large technical organizations. • Technical Domain Expertise: Deep experience in cloud technologies, specifically Data Engineering, Data Warehousing, and AI/Machine Learning. • Retail Industry Knowledge: Conversant with the business challenges retailers face today, such as inventory management, demand forecasting, and omni-channel customer journeys. • Delivery Success: Proven track record in the deployment of production-grade data products. You are an expert at guiding architecture discussions and creating clear project execution plans. • Business Acumen: Ability to engage at the executive level and drive growth within complex strategic accounts (e.g., managing accounts with $5M+ in Annual Recurring Revenue). • Collaborative Spirit: A track record of building strong partnerships with Sales, Engineering, and Marketing to deliver tangible customer results. • Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Guide customers in building big data and ML solutions on Databricks, including designing and implementing ML pipelines and MLOps practices. | Extensive experience in data science, ML engineering, MLOps, and production data systems, with strong programming skills in SQL and Python, and customer-facing experience. | FEQ127R251 As a Specialist Solutions Architect (SSA) - Data Science / Machine Learning on the Public Sector team, you will guide customers in building big data solutions on Databricks that span a large variety of machine learning use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with MLFlow™ and expertise in other MLOps technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be machine learning, MLOps, industry expertise, or more. The impact you will have: • Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from feature engineering, training, tracking, registry, serving to model monitoring all within a single platform • Architect production level workloads, including end-to-end ML pipelines load performance testing and optimization • Serve as the trusted technical advisor for customers developing GenAI and Agentic solutions, such as RAG architectures on enterprise knowledge repos, MCP tool integration, querying structured data with natural language, content generation, and monitoring • Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures • Provide tutorials and training to improve community adoption (including hackathons and conference presentations) • Contribute to adoption of a variety of the ML offerings Databricks with customers as well as the larger Databricks Community What we look for: • Must be eligible and willing to be processed for a U.S. Government clearance • [Preferred] DoD Secret or Top Secret Clearance • 7+ years experience in a technical role with expertise in: • Data Scientist/ML Engineer: model selection, model lifecycle, model scaling, AutoML, hyperparameter tuning, model serving, model monitoring, deep learning • MLOps Engineer: Build and maintain cloud infrastructure that supports the deployment of ML models and algorithms, monitors data drift, integration with production systems • Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems • Experience maintaining and extending production data systems to evolve with complex needs • Deep Specialty Expertise regarding ML concepts including Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow • Production programming experience in SQL and Python, Scala, or Java • 4 years professional experience with Big Data technologies (e.g. Spark, Hadoop, Kafka) and architectures • 2 years customer-facing experience in a pre-sales or post-sales role • Can meet expectations for technical training and role-specific outcomes within 6 months of hire • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Ability to travel up to 30% when needed in and around the DMV area Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $161,300—$225,800 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Designing and architecting distributed data systems, guiding customers through implementation, and promoting open-source data tools. | 7+ years in a customer-facing or consulting role with experience in big data, data engineering, and cloud solutions, with programming skills in Python, SQL, Scala, Java, or R. | FEQ426R589 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and generative AI. As a member of our team, you will exercise and grow your expertise in those areas, using open-source projects such as Apache Spark™, Delta Lake and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales teams and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks. The impact you will have: • Partner with the sales team to help customers understand how Databricks can help solve their business problems • Provide technical leadership for customers to evaluate and adopt Databricks • Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications • Build and present reference architectures, how-tos, and demonstrate applications for customers • Become an expert in, and promote open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars • Travel to meet with customers in your territory What we look for: • 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges • Experience designing and architecting distributed data systems • Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java,, or R • Experience working with Financial Services customers is a positive differentiator • Experience building solutions with public cloud providers such as AWS, Azure, or GCP • Experience with data Engineering technologies (Ex: Spark, Hadoop, Kafka) • Experience with data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS) • Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.) Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $196,200—$274,650 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Lead and develop a technical team supporting AI-native customers, ensuring technical qualification of workloads, building customer relationships, and influencing product decisions. | 7+ years in data-related roles, 3+ years leading technical customer-facing teams, experience in data/AI products, and strategic customer growth. | Job Description: • Hire and develop a team of deeply technical field engineers capable of guiding AI native customers across a wide range of data, analytical, and AI workloads. • Adapt the team's skills and engagement model to match the needs of digital and AI native customers • Consistently meet or exceed targets by making sure the team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle • Travel to customer sites for executive sessions, technical workshops, and building relationships • Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team • Stay current with emerging Data and AI trends in the digital native tech sector Requirements: • 7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning) • 3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment • A history of building a territory, growing strategic customers, and exceeding targets • Experience in influencing large product and engineering decisions based on customer and market evidence. • A track record of evolving and changing your team engagement models to adapt to customers' demands. • Technical depth and skills in the data and AI space to build credibility with the team, customers, and stakeholders. • Inspiring a team vision about the unique nature of the AI natives business • A history of execution by managing workloads and consumption with sales, product, and engineering counterparts • Experience owning technical executive alignment in accounts that guide strategic decisions Benefits: • Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks

Lead and develop multi-year GTM strategies, design high-impact motions, and build operating models connecting market opportunities to revenue objectives. | 7-10+ years in GTM Strategy/Ops, deep understanding of enterprise tech business models, proven success in developing and executing integrated GTM strategies, strong analytical and stakeholder management skills. | Req ID: SLSQ127R536 The Strategy & Execution Director defines the multi-year GTM strategy, designs high-impact GTM motions and levers, and builds the 3-year operating model that connects market opportunity to revenue objectives, resource allocation, and execution pathways. They will partner across Sales, Field Engineering, Marketing, Operations, Finance, Product, Business Intelligence & Insights (BII), Econometrics and Data Science to translate strategy into clear initiatives and resource investments aligned to measurable outcomes. What You’ll Do Combine your core strategy toolkit (framing/structure, hypothesis-driven approach, data-driven insight, best practices) with business judgment to directly lead and deliver major GTM initiatives including: Define the GTM strategy— set strategic choices and trade-offs across segments, industries, regions, and partner ecosystems. Oversee GTM resourcing, implementing robust frameworks to analyze investment effectiveness, and continuously optimizing GTM investments for maximum revenue generation and clear ROI. Codify strategic priorities into an annual portfolio of initiatives with owners, milestones, and success metrics; drive alignment via executive-ready narratives and decision forums. Build the 3-year operating model—revenue plan, productivity assumptions, coverage & capacity, investment envelopes, multi/cross-product sales penetration and scenario analysis. Develop strategic planning & competitor artifacts including market maps, growth theses, product-GTM alignment to inform where to play and how to win against the competition. Instrument leading indicators for strategy efficacy including pipeline source/mix, segment traction, motion adoption, velocity and conversion and recommend pivots based on signal. Design GTM motions with clear hypotheses, target segments, investment offers, enablement needs, and measurement frameworks. Collaborate cross-functionally to connect strategy → enablement → programs → field execution; ensure downstream operating cadence reflects up-front strategic choices. Requirements 7–10+ years in GTM Strategy/Ops, Management Consulting, Corporate Strategy, or adjacent roles; experience in enterprise software or platform businesses preferred. Strong business skills and GTM knowledge - must have deep understanding of typical enterprise tech business models and GTM strategies across multiple disciplines including Field Sales, Indirect Sales, Shared Services, Marketing, Post-sales etc. A track record of consistently developing and executing integrated GTM strategies to deliver excellent results, even in challenging and ever-changing environments Demonstrated success in segmentation, coverage, and capacity planning, GTM motion design, and building multi-year operating models with scenario analysis. Analytical, data-driven operator; comfortable with modeling, executive synthesis, and turning insights into decisions; familiarity with ROI, CAC, and HC planning. Executive communication and stakeholder management; able to frame complex choices, facilitate trade-offs, and drive alignment at senior levels. Strong program design skill set with hypothesis-led experimentation and measurable outcomes; SQL/BI proficiency a plus. Lead thoughtful, creative and rigorous analysis (e.g., market sizing, coverage model analysis, business models) to synthesize insights and provide recommendations to GTM leadership. Strong business skills and GTM knowledge - must have deep understanding of typical enterprise tech business models and GTM strategies across multiple disciplines including Field Sales, Indirect Sales, Shared Services, Marketing, Post-sales etc. A track record of consistently developing and executing integrated GTM strategies to deliver excellent results, even in challenging and ever-changing environments Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $218,800—$306,250 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Define and execute multi-year GTM strategies, develop operating models, and align cross-functional teams to maximize revenue growth. | 7-10+ years in GTM Strategy/Ops, strong understanding of enterprise tech business models, proven success in developing and executing integrated GTM strategies. | Req ID: SLSQ127R536 The Strategy & Execution Director defines the multi-year GTM strategy, designs high-impact GTM motions and levers, and builds the 3-year operating model that connects market opportunity to revenue objectives, resource allocation, and execution pathways. They will partner across Sales, Field Engineering, Marketing, Operations, Finance, Product, Business Intelligence & Insights (BII), Econometrics and Data Science to translate strategy into clear initiatives and resource investments aligned to measurable outcomes. What You’ll Do Combine your core strategy toolkit (framing/structure, hypothesis-driven approach, data-driven insight, best practices) with business judgment to directly lead and deliver major GTM initiatives including: • Define the GTM strategy— set strategic choices and trade-offs across segments, industries, regions, and partner ecosystems. Oversee GTM resourcing, implementing robust frameworks to analyze investment effectiveness, and continuously optimizing GTM investments for maximum revenue generation and clear ROI. • Codify strategic priorities into an annual portfolio of initiatives with owners, milestones, and success metrics; drive alignment via executive-ready narratives and decision forums. • Build the 3-year operating model—revenue plan, productivity assumptions, coverage & capacity, investment envelopes, multi/cross-product sales penetration and scenario analysis. • Develop strategic planning & competitor artifacts including market maps, growth theses, product-GTM alignment to inform where to play and how to win against the competition. • Instrument leading indicators for strategy efficacy including pipeline source/mix, segment traction, motion adoption, velocity and conversion and recommend pivots based on signal. • Design GTM motions with clear hypotheses, target segments, investment offers, enablement needs, and measurement frameworks. • Collaborate cross-functionally to connect strategy → enablement → programs → field execution; ensure downstream operating cadence reflects up-front strategic choices. Requirements • 7–10+ years in GTM Strategy/Ops, Management Consulting, Corporate Strategy, or adjacent roles; experience in enterprise software or platform businesses preferred. • Strong business skills and GTM knowledge - must have deep understanding of typical enterprise tech business models and GTM strategies across multiple disciplines including Field Sales, Indirect Sales, Shared Services, Marketing, Post-sales etc. • A track record of consistently developing and executing integrated GTM strategies to deliver excellent results, even in challenging and ever-changing environments • Demonstrated success in segmentation, coverage, and capacity planning, GTM motion design, and building multi-year operating models with scenario analysis. • Analytical, data-driven operator; comfortable with modeling, executive synthesis, and turning insights into decisions; familiarity with ROI, CAC, and HC planning. • Executive communication and stakeholder management; able to frame complex choices, facilitate trade-offs, and drive alignment at senior levels. • Strong program design skill set with hypothesis-led experimentation and measurable outcomes; SQL/BI proficiency a plus. • Lead thoughtful, creative and rigorous analysis (e.g., market sizing, coverage model analysis, business models) to synthesize insights and provide recommendations to GTM leadership. • Strong business skills and GTM knowledge - must have deep understanding of typical enterprise tech business models and GTM strategies across multiple disciplines including Field Sales, Indirect Sales, Shared Services, Marketing, Post-sales etc. • A track record of consistently developing and executing integrated GTM strategies to deliver excellent results, even in challenging and ever-changing environments Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $218,800—$306,250 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Selling data and AI solutions to enterprise clients, penetrating new accounts, and demonstrating value to C-level executives. | 5+ years of enterprise sales experience, technical product understanding, proven quota achievement, and experience with open source, big data, Cloud, or SaaS sales. | P-361 This role highly prefers applicants be based in: Remote - Chicago Remote - Texas Remote - Ohio Remote - Michigan Remote - Minnesota Remote - Tennessee For this Enterprise Account Executive role at Databricks, you will be selling to leading Fortune 500 Retail, Travel & Hospitality accounts. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Hunter Account Executive to join the team and maximize the phenomenal market opportunity that exists for Databricks. We are looking for an Enterprise AE that can compress decision cycles by penetrating accounts fast and demonstrating value to the customer. You will be over a greenfield patch and responsible for closing net new logos. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. The impact you will have: You will have a direct influence on the data strategy of the leading retail & travel companies today You will allocate Databricks resources to break into new accounts and grow existing relationships Meet with C-Level Executives to Practitioner level, both IT & business, to demonstrate Databricks can make an impact on business outcomes You will communicate account strategy to Databricks Senior Leadership on a regular basis Exceed activity, pipeline, and revenue targets You will use a creative, fail-fast approach to prospecting, selling and creating value for customers You will build a plan for success internally at Databricks and externally with your accounts What we look for: 5+ years of direct sales experience with at least 2 years in the Enterprise space Experience with Value Selling Methodologies A creative salesperson with a well-defined prospecting motion Sales experience within open source technologies, big data, Cloud, or SaaS sales Proven years of experience exceeding sales quotas You love understanding a technical product in-depth and are passionate about communicating its value to Customers Grit, Grind, Tenacity. As a greenfield account executive, we are looking for those that are excited to break into new logos and have experience doing so Bachelor's Degree About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Develop and execute partner territory plans, collaborate with sales and partner teams to drive growth, and establish relationships with key industry partners in Financial Services. | Requires 5+ years in partner sales or management, experience with GTM strategies, portfolio management, and working with cloud and software partners. | SLSQ127R344 You will be our team's first point of contact within Financial Services for: 1) Sales/Field Engineering Leadership 2) Industry Leadership 3) Account Executives and 4) C&SI partners. You will develop and execute a Financial Services partner territory plan creating subsector strategies to support business growth goals. You will help Account Executives develop account plans, qualifying and advancing partner opportunities with our Databricks account teams, and developing relationships with Global / National / Regional SI Partner teams operating at accounts in the region. You will report to the Financial Services Partner Sales Leader. The impact you will have: • You will own the partner territory plan for your sub sector within Financial Services • You will work directly with Sales Leadership and Partner Executives on unique GTM strategies to drive scale and growth. • You will materially accelerate Databricks adoption (commitments and consumption) with C&SI Partners in Financial Services • You will establish healthy and sustainable relationships with the C&SI Partner teams that are important to our customers in Financial Services • You will create scaled programs with our ecosystem to drive new logo adoption and existing customer expansion specifically around industry partner solutions tied to high value use cases within Financial Services. What we look for: • 5+ years of experience in partner sales, partner management. • Sales Readiness and Execution: opportunity qualification and advancement with SI Partners Planning: develop SI Partner strategies and plans by account. • Working as a Team: work with account executives, sales management, solution architects, field marketing and operations to explore and execute partnership opportunities; work across teams to build consensus and influence outcomes; work with Cloud partners (e.g. AWS, Azure and GCP) and software partners to support customer opportunities. • Portfolio Management & Planning: determine the key SI relationships within Financial Services and work with them to develop and execute partner plans that produce mutually beneficial outcomes. • Delivery Readiness: support practice and skills development for SI Partners with a balanced approach to enablement programs, differentiated asset & offering development, internal promotion, marketing activities, and delivery excellence. • Good Governance: work with each partner to ensure the right governance with each relationship, including agreements, executive relationships and processes. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $131,400—$183,900 USD Zone 2 Pay Range $131,400—$183,900 USD Zone 3 Pay Range $131,400—$183,900 USD Zone 4 Pay Range $131,400—$183,900 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Guide customers through big data projects, design and build reference architectures, and manage technical project delivery. | Requires 6+ years in data platforms & analytics, proficiency in Python or Scala, experience with cloud ecosystems, and deep knowledge of Spark and MLOps. | CSQ227R175 == To comply with U.S. federal government requirements, U.S. Secret clearance or above is required for this position == As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues What we look for: US Top Secret Clearance Required this position 6+ years experience in data engineering, data platforms & analytics Comfortable writing code in either Python or Scala Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines Documentation and white-boarding skills Experience working with clients and managing conflicts Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Ability to travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $161,280—$225,792 USD Zone 2 Pay Range $161,280—$225,792 USD Zone 3 Pay Range $161,280—$225,792 USD Zone 4 Pay Range $161,280—$225,792 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Designing and building data architectures, guiding customer projects, and providing technical support for big data and AI applications. | 6+ years in data engineering, experience with Spark, cloud platforms, Python or Scala, and project delivery skills. | Job Description: • Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases • Work with engagement managers to scope variety of professional services work with input from the customer • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications • Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. • Provide an escalated level of support for customer operational issues • Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues Requirements: • US Top Secret Clearance Required this position • 6+ years experience in data engineering, data platforms & analytics • Comfortable writing code in either Python or Scala • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps • Design and deployment of performant end-to-end data architectures • Experience with technical project delivery - managing scope and timelines • Documentation and white-boarding skills • Experience working with clients and managing conflicts • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Ability to travel up to 30% when needed. Benefits: • Comprehensive benefits and perks that meet the needs of all employees

Provide technical leadership and solution architecture support to strategic partners building on the Databricks platform, including enablement, POC execution, escalation management, and relationship building. | 7+ years in field engineering or solution architecture with deep hands-on Databricks and Spark expertise, cloud-native architecture skills, partner ecosystem experience, and strong communication and workshop delivery capabilities. | ADD Req ID FEQ426R406 At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! About the Role As a Field Engineer specializing in Databricks Strategic Built on Partners, you will be the technical expert supporting strategic partners who build their B2B, customer-facing products on the Databricks platform. You will play a central role in solution architecture, enablement, evaluation, and collaborative innovation, helping partners design, deploy, and optimize robust and scalable data and AI-powered solutions, powered by Databricks. Key Responsibilities • Partner Technical Leadership: Serve as the technical authority for prospective and current Built on strategic partners building products and solutions on Databricks. • Well-Architected Framework: Develop and continuously optimize a framework of best practices and guidelines for building and operating reliable, secure, efficient, and cost-effective workloads on Databricks. • Solution Architecture: Guide partners through solution design and integration, delivering architecture best practices for data engineering, data science, and AI workloads. • Enablement & Workshops: Deliver technical enablement, training, and workshops to upskill partner technical teams on Databricks’ capabilities and advanced features. • Proof of Concept Execution: Lead and support POCs and pilots, addressing technical challenges and highlighting the value of Databricks in the Built on partner solution context. • Technical Escalation Management: Provide direct technical support as an escalation point for deployment, integration, and performance issues. • Relationship Management: Build strong, trust-based relationships with partner engineering teams and collaborate closely with Databricks’ internal Product, Field Engineering, and Sales teams. • Thought Leadership: Represent Databricks in strategic partner meetings and events. Advocate for the needs of Built on partners internally to influence the Databricks product roadmap. • Best Practice Development: Develop and share reusable frameworks, guides, and reference architectures for partner enablement. • Continuous Learning: Stay up-to-date with new data and AI trends, platform features, and industry best practices to ensure partners benefit from cutting-edge capabilities. Required Qualifications • Minimum 7 years’ experience in field engineering, solution architecture, or partner-facing technical roles in the cloud, data, or AI/ML domains. • Deep hands-on expertise with Databricks, Spark, and related data/AI platforms. • Proven capability in designing and delivering large-scale data and AI architectures for partners or enterprise customers. • Strong proficiency in cloud-native architectures (Azure, AWS, GCP), Python and/or Scala, and orchestration frameworks. • Demonstrated experience managing technical relationships and projects in a partner ecosystem. • Excellent communication, presentation, and consultative skills. • Experience conducting technical workshops and enablement sessions. • Ability to lead and resolve complex technical challenges in fast-paced, ambiguous environments. Preferred Qualifications • Experience with building or supporting ISV solutions, SaaS platforms, or integration ecosystems. • Working knowledge of ML/AI frameworks, data governance, security, and compliance in cloud environments. • Previous experience driving go-to-market initiatives with strategic partners. • Open-source contributions or community engagement in data and AI technologies. Key Competencies • Strategic and technical acumen • Relationship-building skills • Execution-focused mindset • Commitment to learning and innovation • Team player with a collaborative approach Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $228,800—$320,300 USD Zone 2 Pay Range $228,800—$320,300 USD Zone 3 Pay Range $228,800—$320,300 USD Zone 4 Pay Range $228,800—$320,300 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Manage strategic enterprise accounts in the public sector by building executive relationships, driving value-based growth, expanding platform usage, and exceeding revenue targets. | 7+ years enterprise sales experience with quota achievement, prior field sales in big data/cloud/SaaS, experience selling to federal health, strong relationships with CIOs and program managers, and a bachelor's degree. | SLSQ426R338 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. As a Strategic Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns within the CDC. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today's ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Public Sector team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Sales, you will manage a strategic enterprise client in the Public Sector vertical. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client. The impact you will have: • Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. • Drive value-based growth within the account. • Expand the Databricks footprint into new business units and use cases. • Exceed activity, pipeline, and revenue targets. • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce. • Use a solution-based approach to selling and creating value for customers. • Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake • Prioritize opportunities and leverage appropriate resources. • Build a plan for success internally at Databricks and externally with your account What we look for: • You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight • Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion • Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts • The ability to simplify a technical capability into a value-based benefit • 7+ years of Enterprise Sales experience exceeding quotas in larger accounts. Experience selling to Federal Health is required. • Managing a targeted enterprise account rather than a broad territory • Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $245,300-$343,475 USD Zone 2 Pay Range $245,300-$343,475 USD Zone 3 Pay Range $245,300-$343,475 USD Zone 4 Pay Range $245,300-$343,475 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Manage and administer financial wellness benefits programs including 401(k), ensure compliance, manage vendors, oversee audits, and lead change initiatives. | 7+ years benefits administration experience with US benefits and 401(k) program management, vendor management skills, compliance knowledge, and HRIS proficiency. | GAQ127R37 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. The Financial Wellness Benefits Manager will be responsible for implementing and managing financial benefits programs, such as retirement and pretax savings accounts, that align with the company's overall business strategy. This individual will partner with HR leadership, vendors, and internal stakeholders to ensure the smooth administration of benefits programs, compliance with all applicable regulations, and effective change management. This role requires a strategic approach to operations, fostering strong partnerships, and leading change initiatives within the benefits landscape. Key Responsibilities: • Develop and administer benefit programs predominantly focused on financial wellness. This includes but is not limited to the 401(k), savings accounts, and commuter benefits, with a focus on the AMER region. • Manage vendor relationships, including contract negotiation, performance evaluation, and acting as liaison for issue resolution. • Ensure compliance with all federal, state, and local regulations related to benefits administration. • Responsible for the audit schedule of programs owned to identify areas for improvement and cost savings. • Serve as the primary point of escalation for complex employee issues for their programs; provide expert guidance and resolution for escalated inquiries. • Oversee annual renewals, plan configuration in HRIS systems (e.g., Workday), and implementation of new benefit plans in their remit. • Analyze trends in benefits and make recommendations for program enhancements and modifications. • Prepare, manage, and track budgets and invoices related to their programs. Qualifications: • * Minimum of 7 years of experience in benefits administration, experience in US benefits is a must • Experience as primary manager of the 401(k) program is a must • Experience managing tax-advantaged accounts is a must • Experience adhering to benefits laws and regulations • Experience managing vendor relationships • Excellent communication, interpersonal, and problem-solving skills. • Proficiency in HRIS systems (ex: Workday) Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $145,200—$203,250 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 2 Pay Range $130,700—$182,900 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Manage strategic enterprise accounts in the Public Sector, build relationships with key executives, drive revenue growth, and execute go-to-market campaigns for Databricks' data and AI platform. | 7+ years of enterprise sales experience with federal health sector expertise, strong relationships with CIOs and program managers, ability to sell complex technical solutions, and a Bachelor's degree. | SLSQ426R338 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. As a Strategic Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns within the CDC. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Public Sector team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Sales, you will manage a strategic enterprise client in the Public Sector vertical. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client. The Impact You Will Have • Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. • Drive value-based growth within the account. • Expand the Databricks footprint into new business units and use cases. • Exceed activity, pipeline, and revenue targets. • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce. • Use a solution-based approach to selling and creating value for customers. • Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake • Prioritize opportunities and leverage appropriate resources. • Build a plan for success internally at Databricks and externally with your account What We Look For • You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight • Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion • Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts • The ability to simplify a technical capability into a value-based benefit • 7+ years of Enterprise Sales experience exceeding quotas in larger accounts. Experience selling to Federal Health is required. • Managing a targeted enterprise account rather than a broad territory • Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $245,300—$343,475 USD Zone 2 Pay Range $245,300—$343,475 USD Zone 3 Pay Range $245,300—$343,475 USD Zone 4 Pay Range $245,300—$343,475 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.