Databricks

Lead the transformation of sales operations through automation, system implementation, and cross-functional leadership to support rapid growth. | Over 8 years in strategy, sales or revenue operations, with experience in high-growth tech environments, proficiency with Salesforce, and managing distributed teams. | SLSQ127R315 While candidates in Remote - San Francisco are encouraged for this role, candidates in other locations in U.S. will be considered. About the Role You will lead the transformation of Databricks' sales operations as we expand our global salesforce by a factor of two over the next several years. Your job is to transform today's manual, high-touch processes into automated systems - so account splits, territory changes, and tool provisioning occur seamlessly without sellers having to chase anyone down. You'll own the sales ops roadmap end-to-end and manage a distributed team of contractors and employees across the U.S., Costa Rica, and India, supporting thousands of sellers. You report to the Senior Director of Go-to-Market Operations and partner closely with Sales, Finance, IT, and HR leadership. We're open to candidates from non-traditional backgrounds. If you've been a seller, solutions engineer, or led shared services or go-to-market scale programs and tooling —we'd like to hear from you. The Impact You Will Have Own and execute the sales operations transformation roadmap, building automated systems that can support 2x growth in sellers globally Operationalize our annual plan: partner with our planning and IT teams to turn territory design, consumption & commit quotas, capacity modeling, etc., into reality in our systems of truth (SFDC, Anaplan) Design automation for high-volume workflows, including territory management, account assignments, compensation administration, and tool provisioning Drive system implementations and manage the technology roadmap for sales operations tools (Salesforce, Anaplan, Xactly) Lead cross-functional initiatives with Sales, Revenue Operations, IT, Finance, and HR to modernize infrastructure Serve as a strategic advisor to VP-level sales leaders on operations strategy and resource planning Build and develop a globally distributed team with a focus on AI-powered Scale, automation, efficiency, and service excellence What You'll Bring Required: 8+ years in strategy and operations, sales operations, revenue operations, field operations, or sales/pre-sales roles—with a track record of building operational excellence at scale Experience leading business transformation at a high-growth technology company ($100M+ annual recurring revenue preferred) Knowledge of annual planning, consumption-based models, and territory/quota design—whether from the field or an operations role Hands-on experience with Salesforce Working knowledge of planning tools (such as Anaplan), business intelligence platforms, and service ticketing systems (such as FreshService or JIRA Service Management) Experience delivering complex programs in ambiguous, fast-moving environments Experience managing distributed teams across multiple time zones Proven bias to action and focus on delivery amongst uncertainty Ability to advise and influence VP-level and above stakeholders Preferred: Experience at a hyper-growth company (3x+ revenue growth within 3 years) Experience in leveraging AI to automate GTM employee jobs-to-be-done Background as a seller, solutions engineer, or customer success manager Experience in management consulting, investment banking, or corporate strategy Familiarity with consumption-oriented GTM Experience with Databricks or a similar platform as used within a GTM Operations framework Experience with international operations (EMEA, APJ) 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 $173,700—$243,225 USD Zone 2 Pay Range $156,400—$218,875 USD Zone 3 Pay Range $147,600—$206,700 USD Zone 4 Pay Range $139,000—$194,575 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 sales team to achieve revenue targets in the Data and AI sector, focusing on customer success and strategic growth. | Extensive experience in enterprise SaaS or AI sales, leadership in high-growth environments, strong network within government sectors, and expertise in sales methodologies like MEDDPIC. | SLSQ127R156 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We are seeking a Director, Enterprise Sales to lead a team of Enterprise Account Executives. In this role, you will manage a team of field sellers who are focused on selling to a set of accounts with in DOW (Army, 4th Estate, and CDAO). Your success will be measured by your team's overall quota achievement, new logo acquisition, and growth in Databricks usage. This team is passionate about building a robust data ecosystem, possesses strong technical knowledge, and is committed to helping customers and partners succeed. You will report directly to the Vice President of Public Sector. The impact you will have: Lead, grow, and inspire the Enterprise Account Executive team to consistently exceed their goals. Foster a culture of teamwork centered on delivering measurable business value and achieving desired customer outcomes. Build trust-based, long-term relationships with customers and partners to drive sustained success. Promote continuous learning and adoption of innovations in data intelligence and GenAI solutions. Actively contribute to regional growth plans, ensure accurate forecasting, and build a durable, customer-focused, high-growth business What we look for: Experience as a high-growth enterprise software sales leader within the Data, AI, Cloud, or SaaS Sales Industry. Experience in the Department of War segment (Army preferred). History of exceeding sales quotas in similar high-growth technology companies Ability to engage with and hire sales talent in the market. Focus and emphasis on methodology-based sales coaching, MEDDPIC and a Challenger mentality. Experience of value-based sales with both the business and IT stakeholders including C-suite. Experience in leadership roles focused on managing sales organizations to influence, develop, and achieve objectives within Data, AI, Cloud, or SaaS sales. Extended Executive relationship network with key customers. Knowledge of the partner ecosystem to help grow Enterprise strategic territories. Success implementing strategies for consumption and commitment-based sales revenue models. 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 $330,000—$462,000 USD Zone 2 Pay Range $330,000—$462,000 USD Zone 3 Pay Range $330,000—$462,000 USD Zone 4 Pay Range $330,000—$462,000 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 implementing big data architectures, supporting data science and ML workflows, and collaborating with sales and engineering teams. | 5+ years in data engineering, data science, or technical architecture, with experience in distributed data systems, programming in Python and SQL, and cloud solutions. | P-273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world. Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. The impact you will have: • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications • Collaborate with your fellow Solutions Architects, using your skills to support each other and our users • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What we look for: • 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role • Experience building distributed data systems • Comfortable programming in, and debugging, Python and SQL • Have built solutions with public cloud providers such as AWS, Azure, or GCP • Expertise in one of the following: • Data Engineering technologies (Ex: Spark, Hadoop, Kafka) • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow) • Available to travel to customers in your region • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) • Nice to have: Databricks Certification NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths. 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 $139,700—$247,300 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.

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.

Manage and grow large healthcare accounts by selling Databricks' cloud data platform, meeting with executives, closing new and existing accounts, and exceeding sales targets. | 5+ years of experience exceeding sales quotas in big data, cloud, or SaaS sales with healthcare accounts, strong relationships with CIOs and executives, and a bachelor's degree. | SLSQ226R627 As a Named Hunter 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 prospect and activate new logos in a primarily Greenfield patch. 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 grow landed 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 5+ 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 $219,900—$307,875 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.

Provide technical leadership and architect big data solutions on Databricks, including pipeline design, performance tuning, and customer-facing support. | 5+ years technical experience with big data technologies including Spark, Hadoop, Kafka; programming in SQL and Python/Scala/Java; customer-facing experience; bachelor's degree or equivalent. | REQ ID FEQ426R519 Central or Eastern US - remote As a Specialist Solutions Architect (SSA) - Data Engineering, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, which requires hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence 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 streaming, performance tuning, 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 architectural design to data engineering to model deployment • Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization • Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows • 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 the Databricks Community What we look for: • 5+ years experience in a technical role with expertise in at least one of the following: • Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions • Data Applications Engineering: Build use cases that use data - such as risk modeling, fraud detection, customer life-time value • Extensive experience building big data pipelines • Experience maintaining and extending production data systems to evolve with complex needs • Deep Specialty Expertise in at least one of the following areas: • Experience scaling big data workloads (such as ETL) that are performant and cost-effective • Experience migrating Hadoop workloads to the public cloud - AWS, Azure, or GCP • Experience with large scale data ingestion pipelines and data migrations - including CDC and streaming ingestion pipelines • Expert with cloud data lake technologies - such as Delta and Delta Live • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Production programming experience in SQL and Python, Scala, or Java • 2 years professional experience with Big Data technologies (Ex: 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 • Can 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 $161,300—$225,800 USD Zone 2 Pay Range $161,300—$225,800 USD Zone 3 Pay Range $161,300—$225,800 USD Zone 4 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.

Manage enterprise clients in the CPG vertical by building relationships with CIOs and executives, driving value-based growth, expanding Databricks footprint, and exceeding revenue targets. | 7+ years enterprise sales experience in big data, Cloud, SaaS with prior CIO-level relationships, ability to simplify technical capabilities, and a Bachelor's degree. | SLSQ426R650 Candidates in the listed location(s) are encouraged for this role Remote - Chicago Remote - TX Remote - TN Remote - MN As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 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 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 CPG team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Sales, you will manage enterprise clients in the CPG 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 Managing a small set of enterprise accounts 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 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.

Drive enterprise sales in the Gaming vertical by building relationships with key executives, closing new logos, expanding account footprint, and exceeding revenue targets. | 7+ years enterprise sales experience with big data, cloud, SaaS, proven ability to close new logos, manage net new accounts, and a Bachelor's degree. | SLSQ326R834 As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 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 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 Gaming team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Sales, you will map to enterprise clients in the Gaming 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. • Experience closing new logos • 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 enterprise engagements with CIOs, CDO's, Data Engineers, Data Analysts, Data Scientists, and essential decision makers • Prior experience closing new logos • The ability to simplify a technical capability into a value-based benefit • 7+ years of Enterprise Sales experience exceeding quotas in larger accounts • Managing a target set of net new enterprise accounts 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.

Guide partners on Databricks platform integration with AWS for big data solutions, provide technical leadership, conduct training, and support partner success in data projects. | 5+ years technical experience with AWS and big data technologies including Spark, Kafka, SQL, Python/Scala/Java, partner-facing experience, and expertise in data governance or streaming systems. | FEQ326R452 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. As a Specialist Solutions Architect (SSA) - Data Intelligence Platform, you will guide partners in understanding our platform and articulate integrations with AWS native services to build big data solutions on Databricks that span a large variety of use cases. You will be in a partner-facing role, working with and supporting our field Solution Architects and partner teams, that requires hands-on production experience with AWS, SQL, Apache Spark™ and expertise in other data technologies. SSAs help partners build capabilities for design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Intelligence Platform. As a deep go-to-expert reporting to the Field Engineering Leadership, 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 data governance, data science, machine learning, streaming, performance tuning, industry expertise, or more. The Impact You Will Have • * Drive adoption and grow knowledge of Databricks products and accelerators on AWS by energizing the ecosystem of system integration partners, AWS technical field consultants, and Databricks direct field • Provide tutorials and training to improve partner community adoption (including workshops, hackathons, and conference presentations) • Translate field trends, AWS priorities, and Databricks product strategy into a cohesive story with clear call out for where we leverage both sides to build customer value in order to deliver that story • Provide technical leadership to guide strategic partners to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment • Demonstrate thought leadership and translate customer adoption patterns from the field to collaborate with product teams to consider integrations with AWS • Become a technical expert in an area such as the open Lakehouse, big data streaming, or data ingestion and workflows • Assist Solution Architects with aspects of the technical sale as they work alongside partners including customizing proof of concept content, and architectures • Contribute to the Databricks Community What We Look For • 5+ years experience in a technical role with expertise in at least one of the following on AWS: • Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions. • Data Applications Engineering: Build use cases that use data - such as risk modeling, fraud detection, partner life-time value. • Data Science or Machine Learning Ops: Design and build of production infrastructure, model management, and deployment of advanced analytics • that drives measurable business value (ie. getting models running in production). • Must be able to work collaboratively and independently to achieve outcomes supporting go-to-market priorities and have the interpersonal savvy to influence both partners and internal stakeholders without direct authority • Deep Specialty Expertise in at least one of the following areas: • Expertise in data governance systems and solutions that may span technologies such as Unity Catalog, Alation, Collibra, Purview, etc. • Experience with high-performance, production data processing systems (batch and streaming) on distributed infrastructure. • Experience building large-scale real-time stream processing systems; expertise in high-volume, high-velocity data ingestion, change data capture, data replication, and data integration technologies. • Experience migrating and modernizing Hadoop jobs to public cloud data lake platforms, including data lake modeling and cost optimization. • Expertise in cloud data formats like Delta and declarative ETL frameworks like DLT. • Expertise in building GenAI solutions such as RAG, Finetuning, or Pre-training for custom model creation. • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience. • Maintain and extend production data systems to evolve with complex needs. • Production programming experience in SQL and Python, Scala, or Java. • Experience with the AWS cloud. • 3+ years professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures • 3+ years with system integration partner or customer-facing experience in a pre-sales or post-sales role (consultant working for a partner) • Can meet expectations for technical training and role-specific outcomes within 6 months of hire • This role can be remote, but we prefer that you will be located in the job listing area (Seattle) and can 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 $196,200—$274,650 USD Zone 2 Pay Range $196,200—$274,650 USD Zone 3 Pay Range $196,200—$274,650 USD Zone 4 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.

Manage named enterprise customers in Digital Native AdTech, build relationships with key executives, drive value-based growth, expand footprint, and exceed revenue targets. | 5+ years enterprise sales experience in big data, Cloud, SaaS, managing Fortune 500 accounts, strong customer relationships with CIOs and decision makers, and a Bachelor's degree. | SLSQ426R555 As an Enterprise Account Executive in Digital Native AdTech at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 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 value to Customers and System Integrators. Reporting to our Director of Enterprise Sales, you will manage named enterprise customers in our Digital Native AdTech 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 5+ years of Enterprise Sales experience exceeding quotas in larger accounts Managing a small set of enterprise accounts 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 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.

Design, build, and deploy big data and AI solutions using Databricks platform, manage customer projects, provide technical consulting and support, and collaborate with internal teams. | 6+ years experience in data engineering and analytics, proficiency in Python or Scala, expertise in at least one cloud platform, deep knowledge of Apache Spark, CI/CD and MLOps experience, strong project management and client interaction skills. | CSQ326R423 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: • 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 • Ability to travel up to 20% 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.

Drive GTM strategy and field program execution for CME vertical, advise executive leadership, design and execute scalable programs, and ensure regulatory compliance. | 10+ years in GTM or consulting with enterprise software, strong Data & AI background, CME industry experience, analytical skills including Salesforce and Excel, excellent executive communication, and a Bachelor's degree (MBA preferred). | Description: • Drive the CME - Communications, Media & Entertainment vertical GTM strategy and field program execution by synthesizing cross-functional input, customer insights, and market trends. • Advise VP+ level Industry GTM, Sales & Field Engineering leaders, partnering with key stakeholders to engage decision-makers within CME organizations. • Provide data-driven insights and growth opportunity recommendations to Sales and Executive leadership for the CME market. • Design, build, and execute field programs that generate pipeline, accelerate consumption & revenue, and increase adoption of the Databricks Platform. • Orchestrate cross-functional teams, selling tools, and data science to deliver repeatable, scalable, and measurable programs that drive substantial and incremental productivity & business lift for the field. • Harmonize GTM strategies across teams and regions, ensuring cohesive execution and alignment with the CME sector's regulatory and compliance requirements. • Collaborate with cross-functional teams to ensure effective implementation of programs, monitor and analyze program performance, and manage program prioritization and timelines. Requirements: • 10+ years of prior experience in GTM Field Programs, management consulting, and/or, with a proven ability to lead and deliver on strategic and tactical business objectives within enterprise software. • Strong background in Data & AI technologies, with the ability to translate technical capabilities into strategic business outcomes specifically relevant to the CME industry. • Demonstrated leadership and ability to deliver results with large-scale, cross-functional teams in a fast-paced environment. • Exceptional analytical skills, including proficiency in Salesforce reporting, Excel, and data analysis. SQL or Python skills are a plus. • Excellent communication and public speaking skills, capable of delivering executive-level presentations and influencing C-suite stakeholders, with the ability to tailor messaging to resonate with CME executives. • Proven experience working with or within the CME industry, understanding its unique challenges, regulations, and market dynamics. • Bachelor's Degree required; MBA or advanced degree highly preferred. Benefits: • Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks (see https://www.mybenefitsnow.com/databricks)

Manage and oversee employee benefits programs across EMEA and APJ regions, including vendor management, compliance, budgeting, and employee support. | Minimum 7 years managing employee benefits programs in EMEA/APJ, knowledge of local laws, strong project management skills, and experience with benefits-related systems. | GAQ226R262 Mission At Databricks, we truly want each of our employees to come and do the best work of their careers, and we believe our benefits programs are an essential part of our employee experience. As the Benefits Program Manager, , EMEA & APJ, you will partner with our teams and vendors to bring benefits programs to our employees across 19 countries and growing! Reporting directly to the Head of Benefits, you will work on different projects to help us build and expand offerings that are authentic to our values. The impact you will have: • Oversee the day-to-day management of benefits programs, including health & welfare, retirement, time-off, and leave of absence, across our EMEA and APJ regions. • Serve as a point of escalation for complex employee benefits issues and provide guidance to employees, managers and People Team members. • Manage relationships with external benefits vendors and ensure service level agreements are met. • Work with internal stakeholders (Payroll, People Operations, People Partners, Employee Relations, Legal, Finance) to enable operational efficiency and support the business as we scale • Participate in cross-functional projects such as global expansion, mergers and acquisitions, global vendor implementations and system enhancements, as needed • Support with annual processes such as renewals and annual enrollments • Analyze benefits data and advise on industry trends based on research to inform decision-making and program improvements. • Ensure benefits programs comply with local laws and regulations. Monitor legislative changes and update programs as needed. • Develop and deliver clear and effective benefits communication materials. • Oversee regional benefits budgets and invoicing • Coach and mentor Benefits Analysts and other cross-functional team members What we look for: • Minimum 7 years of experience in managing employee benefits programs, with a focus on EMEA and APJ regions. • In-depth knowledge of benefits regulations and practices across multiple countries. • Strong project management and organizational skills. • Experience with EMEA and APJ benefits, including time-off and leave of absence management • Experience building and refining programs and processes that provide an exceptional employee experience within a high-growth company • Experience with benefit-related laws and regulations and local laws • Workday experience a plus 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 architectures and solutions for big data platforms, guide customers on best practices, implement proof of concepts, and collaborate with sales and engineering teams. | 5+ years in data engineering, data science, or technical architecture roles, experience with distributed data systems, Python and SQL programming, public cloud providers, and expertise in big data or machine learning technologies. | Description: As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applicationsCollaborate with your fellow Solutions Architects, using your skills to support each other and our usersBecome an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. Requirements: 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting roleExperience building distributed data systemsComfortable programming in, and debugging, Python and SQLHave built solutions with public cloud providers such as AWS, Azure, or GCPExpertise in Data Engineering technologies (Ex: Spark, Hadoop, Kafka) or Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)Available to travel to customers in your region[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)Nice to have: Databricks Certification 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.

Lead and manage global compensation planning cycles, analyze compensation data, support pay equity efforts, and collaborate with cross-functional teams to implement scalable compensation frameworks. | 5-8 years managing compensation projects, strong analytical skills, Workday experience, project management proficiency, and excellent communication and stakeholder influence abilities. | Description: • Deliver global compensation planning cycles by leading the design, testing, and implementation in Pave, ensuring data integrity across all compensation systems, and supporting communication, education, and change management efforts • Support pay equity analysis using Syndio’s platform to guide data-driven compensation decisions and advance equitable pay practices • Manage and analyze complex datasets to generate clear, data-driven compensation insights that inform decision-making, increase efficiency, and enable scalable growth • Contribute to strategic compensation projects, key initiatives and the development of scalable frameworks while partnering with key stakeholders such as IT People Systems, HR People Partners, People Ops, Talent Management, and Talent Acquisition • Collaborate with IT People Systems to ensure Workday compensation data, configuration, and reports are accurate, scalable, and efficient • Lead technology reviews and system enhancements for the compensation team to ensure tools, processes, and compensation programs scale effectively with the business, including managing change and driving smooth implementation Requirements: • 5-8 years of experience managing compensation planning cycles as well as large, cross-functional compensation projects • Strong compensation and analytical background that shows proven success as a thoughtful partner with attention to detail • Strong competency in understanding, interpreting, and communicating procedures, policies, and information clearly through excellent written, verbal, and interpersonal skills • Advanced data analysis and problem-solving skills (i.e. spreadsheets, databases) and an ability to use data to support informed decision-making • Experience with Workday as a system of record for compensation • Proficient in project management methodologies and techniques • Ability to navigate ambiguity in a fast-paced, dynamic environment where foundational frameworks are still being developed and priorities can shift quickly • Skilled at leading and influencing stakeholders • Ability to effectively communicate and collaborate with others on the team • Strong sense of urgency with the ability to handle multiple competing priorities Benefits: • Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks that meet the needs of all employees (see https://www.mybenefitsnow.com/databricks)

Build and lead a team of Delivery Solution Architects to drive post-sales technical strategy and customer use case deployment for enterprise customers. | 7+ years in customer-facing roles with proven experience leading technical post-sales teams in SaaS data analytics or related fields, and ability to engage with technical executives and cross-functional teams. | Description: Build and lead a team of Delivery Solution Architects (DSAs). DSAs lead the post-sales technical strategy for our largest Enterprise customers, focusing on ensuring use cases go into production as quickly and smoothly as possible.; As a DSA Manager, you will shape and monitor the post-sales execution strategy for the customers in your region, in close collaboration with our sales, pre-sales, and professional services teams, as well as partners.; Responsible for the DSA team in the AMER Enterprise Manufacturing region and report to the DSA leader in the AMER region.; Make investment decisions in collaboration with your region's sales and pre-sales managers.; Help shape and adjust the DSA role's value proposition for your region and promote it to sales teams and customers.; Be the technical sponsor and thought leader for a select number of customers.; Hire and coach your team (of Delivery Solution Architects) to prioritize and work with different customer stakeholders up to C-level executives, with the goal of driving usage growth by getting use cases into production faster.; Contribute to the creation of assets to build the Delivery Solution Architecture practice and improve effectiveness and consistency in working with customers.; Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring); Hire, coach, and grow a team of Delivery Solutions Architects for a company in high-growth mode; Keep your team of DSA’s ahead of the technical curve; Assign accounts and distribute work across individuals for optimal customer coverage and team balance; Inspire the team to be customer-obsessed by understanding customer goals, their use cases, and Databricks technology; Build relationships and partner with Sales, pre-sales, and professional services teams to accelerate the growth of customers; Work with cross functional teams to reduce customer risk and help your team with escalations and address any issues or blockers; Lead team activities to monitor customer progress and forecast growth; Provide input to grow and improve internal processes, drive operational rigor and lead programs that drive impact across the organization; Maintain a robust hiring pipeline at all times. Requirements: 7+ years of successful experience in a customer-facing role; Proven delivery experience in SaaS Technologies, particularly in the areas of Data Analytics, Data Warehousing, Data Engineering, ETL, Machine Learning, AI or Data Science.; Experience building and leading technical post-sales teams - hiring, onboarding, and enabling post-sales professionals; Trusted advisor to technical executives who guide strategic data project delivery decisions; Lead a team through best practices for architecture discussions, use case Go-Lives, creating project and execution plans, and customer growth strategy; Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners; Experience in delivery and deployment of workloads or data products into production, e.g,. in a delivery architect, project manager, devops, or service/product owner role; Conversant with business issues our customers face today, and likely big data use cases in different industries. 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.

Provide technical leadership and architectural guidance to customers, develop data and AI solutions, collaborate with sales and engineering teams, and drive adoption of Databricks platform technologies. | 7+ years in data engineering or technical architecture roles, experience with distributed data systems, programming in Python and SQL, cloud platform expertise, and familiarity with data engineering or machine learning technologies. | Join to apply for the Sr. Solutions Architect role at Databricks 14 hours ago Be among the first 25 applicants Join to apply for the Sr. Solutions Architect role at Databricks Get AI-powered advice on this job and more exclusive features. FEQ326R456 Central - United States While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. As a Senior Solutions Architect on the Digital Native team, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. Databricks' digital native customers are digital-first, cloud-native organizations that rely heavily on data and AI to drive their businesses at a global scale. These companies are typically at the forefront of innovation, leveraging AI and Advanced analytics to power their products and operations. They include some of the most recognized and disruptive names in technology and digital services such as Doordash, Rivian, and many more. Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. The Impact You Will Have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications Collaborate with your fellow Solutions Architects, using your skills to support each other and our users Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What We Look For: 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role Experience building distributed data systems Comfortable programming in, and debugging, Python and SQL Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in one of the following: Data Engineering technologies (Ex: Spark, Hadoop, Kafka) Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow) Available to travel to customers in your region [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) Nice to have: Databricks Certification Benefits Comprehensive health coverage including medical, dental, and vision 401(k) Plan Equity awards Flexible time off Paid parental leave Family Planning Gym reimbursement Annual personal development fund Employee Assistance Program (EAP) 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 $137,400—$192,300 USD Zone 2 Pay Range $137,400—$192,300 USD Zone 3 Pay Range $137,400—$192,300 USD Zone 4 Pay Range $137,400—$192,300 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 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. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Databricks by 2x Get notified about new Senior Solutions Architect jobs in Denver, CO . 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