Databricks

Provide technical leadership and develop architectures and solutions using the platform and APIs to support customers in big data and AI projects. | 5+ years in data engineering, data science, or technical architecture with experience in distributed data systems, Python, SQL, and cloud platforms. | As a Solutions Architect on the AI native team supporting the Strategic Digital Natives business, 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 • Location: Remote (Pacific Time preferred; Mountain Time considered). 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. Local Pay Range $180,000—$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 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 technical strategy and adoption of Databricks products in large Retail and Travel accounts, focusing on ML and AI use cases. | 5+ years in large Retail/CPG accounts, 3+ years pre-sales experience, technical expertise in big data, data science, cloud, and programming in Python, R, Scala or Java. | P-256 We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Travel & Hospitality within Retail SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space. The Impact You Will Have • You will work with up to 9 clients as the main technical voice for Databricks • You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy • You will implement the technical strategy in the account, in close understanding of the strategy • Build a movement of technical champions within the account • Align technical strategies around Databricks solutions • You will provide structured mentorship for other team members What We Look For • 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space • 3+ years working in a pre sales capacity or supporting sales activity • Technical in big data, data science and cloud • An ability in data-driven business transformation, and driving change with data • 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions • Maintain and extend production data systems to evolve with complex customer needs • Production programming experience in Python, R, Scala or Java • Nice to have: Databricks Certification 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 $180,000—$247,500 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 click here. 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 build a team of Delivery Solutions Architects to accelerate customer success on Databricks Data and AI platform. | 7+ years in customer-facing technical roles with 3+ years leading teams, expertise in Data and AI, cloud-native architectures, and strong communication skills. | As a Delivery Solutions Architect (DSA) Manager supporting our Emerging Enterprise (EE) segment, you will build, lead, and inspire a team of DSAs who help our most innovative, fast-growing customers accelerate their journey from idea to production on the Databricks Platform. Your team will focus on accelerating use case onboarding, enabling production workloads, and driving success in production, ensuring every customer achieves measurable outcomes and business value. You will set strategy, coach technical excellence, and ensure your team remains at the forefront of modern Data and AI architecture. You will report to the Director of Delivery Solutions Architecture for the Emerging Enterprise Unit. The Impact You Will Have • Build and Lead a High-Performing Team: Hire, coach, and grow DSAs capable of guiding EE customers to production success across a wide range of Data, AI, and ML workloads. • Accelerate Path to Production: Inspire your team to minimize friction, remove blockers, streamline onboarding, and enable customers to get high-impact workloads into production faster. • Maintain Technical Excellence: Ensure you and your team stays ahead of the curve with advanced knowledge of Databricks and the broader Data and AI ecosystem, continuously learning and achieving certifications. • Collaborate for Customer Growth: Partner closely with Sales, Solutions Architects, Support, Product Engineering, and Professional Services to build integrated customer plans that accelerate adoption and deliver tangible ROI. • Champion Operational Rigor: Establish mechanisms for tracking, forecasting, and communicating workload progress, usage growth, and customer health. • Be a Thought Leader and Sponsor: Serve as the technical sponsor for select EE accounts, engaging tech leads and executives to shape customer success strategy at scale. • Contribute to the DSA Practice: Drive initiatives that enhance consistency, scalability, and innovation across the DSA organization. What We Look For • 7+ years of experience in customer-facing technical roles (Architecture, Field Engineering, or similar roles with a focus on Data and AI), including 3+ years leading technical teams. • Experienced in cloud-based Lakehouse architectures, specifically in guiding customers through migrations and modernization, leveraging cloud-native architectural principles. • Proven track record in accelerating workloads to production and enabling sustained success on cloud-native platforms. • Deep understanding of and ability to guide complex architectural discussions related to distributed data systems and cloud-native platforms. • Hands-on experience in SQL, an Object-Oriented Programming Language (preference for Python, SQL, or Scala), code reviews, and architecture design sessions. • Expertise in Data and AI domains, such as Analytics, Data Warehousing, ETL, Streaming, and/or ML/AI productionization. • Experience with hyperscaler platforms (AWS, Azure, or GCP) is a strong plus. • Ability to manage escalations, forecast usage growth, and operationalize customer success programs. • Strong communication and executive presence; trusted advisor to technical leaders and C-level stakeholders. • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). • Willingness to travel up to 30% as 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 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 $197,100—$270,975 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 click here. 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 post-sale technical strategy and execution for Databricks use cases with startup and emerging enterprise customers. | 5+ years in technical project delivery in Data and AI, programming in Python/SQL/Scala, customer-facing technical roles, and solution architecture experience. | At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels within an organization. You will report directly to a DSA Manager within the Field Engineering organization. The Impact You Will Have • Engage with Solutions Architects to understand the full use case demand plan for prioritized customers • Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts • Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks • Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations • Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertise • Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals • Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades • Develop an execution plan spanning all customer-facing technical roles and teams across the following work streams: • Main use cases moving from ‘win’ to production • Enablement / user growth plan • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) • Organic needs for current investment (e.g. cloud cost control, tuning & optimization) • Executive and operational governance • Provide internal and external updates to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression What We Look For • 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside customers • Programming experience in Python, SQL or Scala • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role • Understanding of solution architecture for distributed data systems • Understanding of how to attribute business value and outcomes to specific project deliverable • Technical program or project management, including accountability for accounts, stakeholders, and resources • Experience resolving complex, high-stakes escalations with senior customer executives • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects • Track record of overachievement against quota, goals, or similar objective targets • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience • 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 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 $180,000—$247,500 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 click here. 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 critical production incidents as incident commander to mitigate impact and restore operations. | 5+ years incident management or SRE experience with cloud infrastructure knowledge and a CS or related engineering degree. | Incident Manager US Remote CSQ127R151 At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As an Incident Manager, you will lead Databricks’ most critical production incidents while providing clear, accurate, and timely communication to customers, executives, and engineers. You’ll serve as both incident commander and reliability engineer; orchestrating multi-team responses, driving real-time status updates, and partnering with engineering to analyze and prevent failures. Your work will ensure Databricks maintains not only technical resilience but also customer and stakeholder confidence during high-impact events. This role combines operational leadership, technical systems knowledge, and exceptional communication skills. You will be at the intersection of engineering depth and operational clarity, ensuring that every major incident is managed with precision, transparency, and continuous improvement. The impact you will have here: Lead critical incidents — coordinate multi-disciplinary response efforts across Databricks’ cloud-based services to rapidly mitigate impact and restore operations. Drive technical root cause analysis and reliability improvements: collaborate with engineering teams to trace and document underlying causes across distributed systems, services, and data stores. Summarize key learnings, clearly communicate action items, and ensure that technical and procedural improvements are followed through. Own communications during incidents — deliver frequent, high-quality updates to internal stakeholders (executives, engineering leadership, support) and compose and publish customer-facing notifications that are accurate, timely, and empathetic. Mentor and train peers in both incident communication and technical response disciplines to raise the overall quality of Databricks’ incident response. What are we looking for: 5+ years of experience in incident management, site reliability engineering, or production operations supporting large-scale, cloud-native systems. Proven ability to lead and coordinate high-severity incidents, including identifying impact, isolating fault domains, and managing multi-team response efforts. Strong understanding of cloud infrastructure (AWS, Azure, or GCP) — including compute, networking, storage, and observability components. Deep expertise in log analysis and debugging: Familiarity with log aggregation and search tools (e.g., Datadog, Elasticsearch, Splunk, Cloud Logging, or OpenTelemetry). Hands-on experience with observability systems — metrics, logging, and tracing frameworks (Prometheus, Grafana, OpenTelemetry, etc.). Proficiency in at least one major programming or scripting language (Python, Go, or Bash) for automating diagnostics, data collection, or analysis. Experience developing and maintaining incident playbooks and communication templates to ensure consistent, timely updates. Excellent contextual interpretation and writing skills, as well as the ability to effectively summarize and communicate to both technical and business audiences, are required. BS, Master's or other advanced degree in Computer Science or Computer Engineering, or related Engineering field. 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 3 Pay Range $103,900—$145,525 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 click here. 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 expert solution architecture and customer engagement for Databricks' data intelligence platform. | Experience in technical pre-sales, influencing C-level executives, coding in core languages, and cloud platform expertise. | FEQ227R233 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. 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! The Impact You Will Have • Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory. • Coach junior Solutions Architects and teams on use case prioritization and building technical champions. • You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. • Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform. • Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. • Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What We Look For • Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. • Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success. • Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. • Hands-on expertise with complex proofs-of-concept and public cloud platform(s). • Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. 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 3 Pay Range $219,100—$301,300 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 click here. 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.