Databricks

A leading data and AI company is seeking a Resident Solutions Architect - Public Sector to support clients with big data challenges using their platform. Responsibilities include managing technical projects, guiding customer implementations, and providing escalated support for operational issues. The ideal candidate will have 6+ years of experience in data engineering, a strong understanding of Apache Spark, and comfort in coding with Python or Scala. U.S. Secret clearance is required for this position, with a pay range of $161,280-$225,792 USD.

A leading data and AI company is seeking a Solutions Architect to define and drive the technical strategy for major accounts. The ideal candidate will have a strong background in pre-sales, big data, and cloud technologies, with experience in global accounts. You will mentor team members and lead clients in adopting advanced data strategies. This role can be undertaken remotely or from various northeastern US locations. Competitive compensation and a range of benefits are offered.

Join to apply for the Solutions Architect role at Databricks Location: San Francisco Bay Area, California REQ ID FEQ127R103 Mission We are seeking experienced pre sales professionals with a proven track record of helping large enterprises become more data driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and most important accounts, leading to more widespread use of our products and deeper adoption of ML & AI. You will lean on your solid background in value selling, technical account management and 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 high tech and manufacturing sectors. Outcomes Work with multiple clients as the main technical voice for Databricks. Lead customers on a transformational journey, helping them evaluate and adopt Databricks as part of their strategy. 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. Provide structured mentorship for other team members. Gain the respect of peers based on experience, insight, and contributions. Competencies Proficiency at establishing virtual teams and leading them to success within the account. Experience working very large (> $1 m ARR), global accounts. Form relationships with executives and influencers. Present a convincing point of view to key decision makers that leads them down a path of success. Technical in big data, data science and cloud. Ability in data driven business transformation, and driving change with data. 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. The total compensation package for this position may also include eligibility for an annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks anticipates utilizing the full width of the range. Zone 1 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. 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 benefits portal. Our Commitment to Diversity and Inclusion 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 or 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 the Employer's discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone. Seniority level Mid Senior level Employment type Full time Job function Engineering and Information Technology Industries Software Development

Senior Software Engineer, Model Serving at Databricks Join to apply for the Senior Software Engineer, Model Serving role at Databricks. At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Databricks' Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models - from traditional ML to fine tuned and proprietary large language models. It offers real time, low latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency. As a Senior Engineer, you'll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high throughput, low latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world class serving platform. The Impact You Will Have Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence. Drive architectural decisions and trade offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads. Contribute directly to key components across the serving infrastructure - from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling - ensuring smooth and efficient operations at scale. Collaborate cross functionally with product, platform, and research teams to translate customer needs into reliable and performant systems. Lead technical initiatives that improve latency, availability, and cost effectiveness across both customer facing and foundational serving layers. Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance. What We Look For 5+ years of experience building and operating large scale distributed systems. Experience in model serving, inference systems, or related infrastructure (e.g., routing, scheduling, autoscaling, and observability). Strong foundation in algorithms, data structures, and system design as applied to large scale, low latency serving systems. Proven ability to deliver technically complex, high impact initiatives that create measurable customer or business value. Experience building architecture for large scale, performance sensitive CPU/GPU inference systems. Strong communication skills and ability to collaborate across teams in fast moving environments. Customer focused mindset with the ability to align implementation details with product goals. Passion for mentoring, growing engineers, and fostering technical excellence. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent 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 below. Local Pay Range: $166,000-$225,000 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. 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 the Employer's discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.

A leading software development company in San Francisco is seeking a Solutions Architect to drive enterprise client strategies and assist them in adopting data-driven solutions. The role involves deep technical engagement with clients, understanding ML & AI applications, and leading teams to success. Ideal candidates should have proficiency in big data, programming, and a background in technical account management. Competitive salary range is expected between $161,300 - $225,800 USD.

A leading data organization is seeking a Lead Security Architect to shape the security strategy across multi-cloud platforms. The role involves designing secure architectures, enforcing compliance, and mentoring other engineers. Candidates should have extensive cybersecurity experience, including architecture roles, and must hold a Bachelor's degree in a relevant field. Competitive compensation and benefits are offered.

Join to apply for the Solutions Architect role at Databricks Location(s): NY, NJ, MA, CT, PA. While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the Northeastern US. Mission We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and most 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 High Tech and Manufacturing space. Outcomes You work with multiple clients as the main technical voice for Databricks. You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy. You implement the technical strategy in the account, in close understanding of the strategy. You build a movement of technical champions within the account. You align technical strategies around Databricks solutions. You provide structured mentorship for other team members. Gain the respect of your peers based on your experience, insight, and contributions. Competencies Proficiency at establishing virtual teams, and leading them to ultimate success within the account. Experience working with very large (> $1m ARR), global accounts. Form relationships with executives and influencers. Present a convincing point-of-view to important decision-makers that leads them down a path of success. Technical in big data, data science and cloud. An ability in data-driven business transformation, and driving change with data. 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 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 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.

Resident Solutions Architect-Public Sector Join to apply for the Resident Solutions Architect-Public Sector role at Databricks. U.S. Secret clearance or above is required for this position. As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term 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 get the 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. Impact You Will Have Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks Provide an escalated level of support for customer operational issues Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues What We Look For US Top Secret Clearance Required 6+ years experience in data engineering, data platforms & analytics Comfortable writing code in either Python or Scala Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines Documentation and white boarding skills Experience working with clients and managing conflicts Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Ability to travel up to 30% when needed Pay Range 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. 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 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 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 Mid Senior level Employment Type Full time Job Function Engineering and Information Technology; Software Development

Databricks Enterprise Lead Security Architect - Principal IT Software Engineer Join Databricks as a Lead Security Architect and influence the company's security strategy across multi cloud platforms. Responsibilities Design and implement secure, scalable reference architectures for Databricks IT across Cloud Infrastructure, SaaS, Custom Built Applications, and Data & AI systems. Establish and enforce security controls for workspace isolation, Unity Catalog data governance, VPC configurations, PrivateLink, and IP allow lists. Lead IAM strategy: SSO, SCIM provisioning, RBAC, and MFA best practices for enterprise identities. Secure data at rest and in transit using customer managed keys; implement data exfiltration prevention measures. Develop cluster security policies and conduct compliance monitoring for HIPAA, PCI DSS, and FedRAMP. Conduct offensive security tests, threat modeling, and support incident response, vulnerability management, and red team activities. Mentor security engineers and developers on secure design and best practices. Qualifications Bachelor's degree in Computer Science, Information Security, Engineering, or a related field. Preferred: Master's degree in Information Security. Minimum 12 years in cybersecurity with 5+ years in security architecture or senior technical roles. Experience designing and securing complex multi cloud environments (AWS, Azure, GCP). Hands on experience with Terraform, IaC, scripting, and security automation. Deep knowledge of IAM systems (Okta, SailPoint, VDI, Entra ID) and data protection practices. Proficiency with SIEM/XDR, cloud native threat detection, OWASP, API security, and web application security. Certifications such as CISSP, CCSP, CEH, AWS Security Specialty, and/or AWS Solutions Architect - Professional are preferred. Benefits We offer a comprehensive benefits package, equity, performance bonuses, and the opportunity to work with world class data & AI technology. Diversity & Inclusion Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We comply with equal employment opportunity standards. Pay Range Transparency Zone 1 Pay Range: $258,300 - $361,575 USD. Job Information Seniority Level: Mid Senior Level Employment Type: Full time Job Function: Information Technology

Staff Data Scientist - Databricks At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best Data Intelligence Platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1,000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Impact You Will Have Shape the direction of some of our key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights. Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data driven decisions, recommendations and forecasts. Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non technical audience. Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review. Represent the data science discipline throughout the organization, having a powerful voice to make us more data driven. Build self serving internal data products to make data simple within the company. Represent Databricks at academic and industrial conferences & events. What We Look For 7+ years of data science, machine learning, advanced analytics experience in high velocity, high growth companies. Extensive experience in applying Data Science / ML for the end to end development and deployment of data driven products for solving business problems. Familiarity with product data science - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, segmentation and funnel analysis. Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Sales and Engineering at the moment, but also work with the Marketing and Finance organizations. Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment. Proficient in data analysis and visualization using tools like R and Python. Experience with distributed data processing systems like Spark, and proficiency in SQL. MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering). 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: $192,000-$260,000 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 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 Mid Senior level Employment type Full time Job function Engineering and Information Technology Industries Software Development

A leading data and AI company in San Francisco is seeking a Senior Software Engineer - Fullstack. The ideal candidate will contribute to both front-end and back-end development and has strong expertise in UI/UX design. Responsibilities include developing web applications, creating APIs, and collaborating with cross-functional teams. If you have over 5 years of experience in web technologies, apply now.

Overview Databricks is hiring a Senior Software Engineer - Fullstack role. Our GenAI observability and quality product provides advanced monitoring and insights for GenAI systems, giving customers real-time visibility into their system's performance, along with a suite of tools to improve the quality of GenAI systems. This is a great opportunity to use next-gen tools for continuous monitoring, testing, and feedback, while applying technologies like AutoML/AutoRag, LLM fine-tuning, Prompt Optimization and Automation to improve the performance and quality of GenAI systems. We are looking for a passionate and experienced Senior Full-Stack Software Engineer to join our dynamic team. This role will contribute to both front-end and back-end development of our product, while bringing strong product sense and UI/UX design expertise to life. The ideal candidate will have a solid track record in full-stack development, with the ability to design and implement intuitive and engaging user interfaces, as well as architect scalable and efficient backend systems. What You'll Do Full-Stack Development: Design, develop, and maintain both front-end and back-end components of our web applications. UI/UX Design: Collaborate with design teams to create visually appealing, user-friendly, and accessible UI/UX. You'll ensure the product provides a seamless experience from end to end. Backend API Development: Architect, design, and implement RESTful APIs and microservices to support the application. Collaboration & Mentorship: Work closely with cross-functional teams including product managers, designers, and other engineers. Mentor junior developers and share knowledge of best practices in both UI/UX and back-end development. Product Sense: Contribute to product strategy by offering insights based on technical feasibility and user experience considerations. Code Quality & Testing: Write clean, maintainable, and well-documented code. Ensure the reliability and performance of all components with rigorous testing. Performance Optimization: Continuously monitor and optimize performance, both for the front-end and back-end. Agile Development: Participate in agile ceremonies, including sprint planning, standups, retrospectives, and code reviews. What We Look For 5+ years of experience with HTML, CSS, and JavaScript. Passion for user experience and design and a deep understanding of front-end architecture. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value. Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember). 5+ years of experience with server-side web technologies (e.g., Java, Python, Scala, Go). Good knowledge of SQL. Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. Experience developing large-scale distributed systems. Why Join Us Work on AI-powered features that directly impact thousands of data practitioners all over the world. Collaborate with a world-class team at the intersection of AI, data, and cloud computing. Build innovative solutions in a fast-moving, high-growth environment. Ready to shape the future of the Data Intelligence Platform at Databricks? Apply now! 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 $166,000-$225,000 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 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.

Job ID: RDQ427R130 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve 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. More About The Team A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments. We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform. You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production. The Impact You Will Have You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD. You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows. You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation. You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management. You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces. You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners. You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams. What We Look For 5+ years of experience as a Product Manager working on platform products Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users Experience being a hands on builder, must be comfortable using our own developer-facing products. Passion for designing products that simplify user experience of technically complex products. 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 $133,000-$186,100 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.

Overview Delivery Solutions Architect (Onsite in San Diego, CA) Location: San Diego, CA. This role requires candidates to work onsite in San Diego, CA. At Databricks, we empower customers to solve the world's toughest data problems using the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will collaborate with sales and field engineering to accelerate adoption and growth of the Databricks platform in your customers and help ensure customer success by guiding complex customers to maximize value and ROI. This is a hybrid technical and commercial role. You will drive growth in assigned customers and use cases by leading stakeholders, building executive relationships, coordinating specialized teams, and crafting plans for Databricks colleagues. You will also be the post-sale technical lead across Databricks products, engaging with the organization at all levels. You will report to a DSA Manager within the Field Engineering organization. Responsibilities Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customers across multiple selling teams and internal stakeholders, driving onboarding, enablement, success, go-live and healthy consumption Be the first contact for technical issues or questions related to production/go live status of agreed upon use cases Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources; escalate to expert level technical experts as needed Create and execute a point-of-view to accelerate key use cases into production, coordinating with Professional Services on delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product innovations, previews and upgrade needs Develop an execution plan covering all activities of all customer-facing technical roles and teams across work streams: Main use cases moving from win to production Enablement / user growth plan Product adoption strategy and activities Organic needs for current investment (cost control, tuning, optimization) Executive and operational governance Provide internal and external updates on KPI status, usage, customer health, investment status, risks, product adoption and use case progression to the Technical GM What We Look For 5+ years of experience accountable for technical project/program delivery in Data and AI; able to contribute to technical debates and design choices with 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 related distributed data systems Ability to attribute business value and outcomes to project deliverables Technical program or project management including account, stakeholder and resource management Experience resolving escalations with senior customer executives Experience conducting discovery workshops, creating strategic roadmaps, business analysis and managing delivery of complex programs/projects Track record of overachievement against quota or similar targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience 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. The total compensation package may include annual bonus, equity, and the listed benefits. For location-specific range details, 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 rely on the Databricks Data Intelligence Platform. Databricks is headquartered in San Francisco, with offices worldwide, and was founded by the creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits Databricks provides comprehensive benefits and perks. For specific details in your region, please visit Our Commitment to Diversity and Inclusion Databricks is committed to fostering a diverse and inclusive culture. Our hiring practices are inclusive and comply with equal employment opportunity standards. We consider applicants regardless of 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, or other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within the Employer's discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.

A leading data and AI company in San Francisco is seeking a Senior Staff Software Engineer specializing in Privacy. The ideal candidate will have over 9 years of experience in Data Security and a strong background in cryptography and large-scale distributed systems. This role involves identifying security gaps, attracting top talent, and representing security engineering at conferences. Competitive salary range is $220,400 - $297,400 USD with comprehensive benefits.

Senior Product Manager - Compute Platform At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve 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. We are looking for a customer obsessed, strategic, and action oriented Sr. Product Manager for the Compute Platform. What's the Compute Platform? Simply, it's what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission critical to many Databricks products and features. This role will be highly cross functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre and post launch) to ensure product success. Impact You Will Have Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless) Work closely with engineering, design, sales, and marketing to launch new features and drive adoption. Engage directly with customers and partners to understand their needs and prioritize high impact solutions. Continually improve efficiency and value for internal stakeholders and external customers through measured and strategic execution. Drive competitive differentiation and positioning between our compute platform and competitive SaaS and IaaS products. Collaborate with leadership to align product initiatives with business goals. Use data driven insights to measure success, iterate, and improve user experience. What We Look For 5+ years of product management experience, preferably in cloud, analytics, or data platforms. Deep understanding of data platforms, the compute products that power them, and compute use cases. Educational background in computer science or related engineering practice. Experience working with engineers and designers to ship high impact and cross functional products. Exceptional communication and storytelling skills to inspire teams and stakeholders. Experience in working hand in hand with enterprise customers and ISV partners in the data market. 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: $133,000-$186,100 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 page 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 or 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 Mid Senior level Employment Type Full time Job Function Product Management Industries Software Development