Databricks jobs

Data Engineer II (Snowflake, Databricks, Ab Initio) CT - Hartford posted: Posted 30+ Days Ago

Resident Solutions Architect - Digital Native Business Atlanta, Georgia; Bellevue, Washington; Boston, Massachusetts; Maryland; Philadelphia, Pennsylvania; Portland, Oregon; Remote - California; Remote - North Carolina; Remote - Virginia; Remote - Washington D.C.; Seattle, Washington; South Carolina CSQ227R258 As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients 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: - You will work on 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. - You will work with the Databricks technical team, Project Manager, Architect

Senior Data Lakehouse Architect (Databricks), Vice President 2 Locations posted: Posted 28 Days Ago

Data Engineer II (AWS, Databricks, SQL, GenAI) 3 Locations posted: Posted 24 Days Ago

Staff Software Engineer, Compute Infrastructure Bellevue, Washington RDQ427R175 At Databricks, we are passionate about helping data teams 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 solve 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. At Databricks, the Compute Infrastructure organization builds and operates the foundation that runs all Data, AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day, operates thousands of Kubernetes clusters, and must deliver extreme elasticity, reliability and cost efficiency. As a Staff Software Engineer and Tech Lead on the Compute Infra team, you will design and build the systems that power Databricks' compute infrastructure to enable engineers to quickly launch and scale world-class products. The impact you will have: - Develop the compute abstractions that provide powerful capabilities for all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance - Design the workload orchestration and scheduling systems that orchestrates all types of workloads (serving, batch, stateful, GPU) with high performance and efficiency - Scale the fleet management systems that launch

Senior Staff Software Engineer - Security Infrastructure Mountain View, California P-1124 Summary 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 and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. 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. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: - Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services - Attract top talent from across the industry. - Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven - Represent Databricks at academic and industry conferences & events What we look for: - 9+ years of experience in

Staff Product Manager, Serverless Workspaces Seattle, Washington RDQ427R275 Location: San Francisco or Seattle 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: The Serverless Workspaces team is the engine behind Databricks' shift from a "configure-first" to a "use-now" platform. We are redefining the customer onboarding experience by removing the heavy lifting of cloud infrastructure without complicated networking, storage, and cluster configuration, just instant access to data and AI. Our mission is to deliver "Workspaces in Seconds." We are building the invisible infrastructure that allows any use (not just infrastructure or IT teams) to spin up a fully governed, secure, and compliant Databricks environment instantly. You will own the strategy for this next-generation platform layer, balancing the simplicity of a SaaS experience with the control enterprise customers demand. The impact you will have: - Drive the transition to Serverless: You will lead the strategy to unify the journey to onboard to serverless and classic workspaces and

Sr Technical Solutions (Backline) Japan P-1529 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. As a Backline Technical Solutions Engineer, you will help our customers succeed with the Databricks Platform by resolving critical technical customer escalations and working closely with the frontline support team. You will be the technical bridge between support and engineering and the first line of defence for engineering. You will ensure that all issues are vetted by you before they reach the engineering team. You will report to the Backline Engineering Team Manager. The impact you will have: - Troubleshoot and resolve complex customer issues related to the Databricks Platform by analysing the core component metrics and logs. - Provide suggestions and best-practice guidance to improve performance in customer-specific environments and to provide product improvement feedback. - Help the support team with detailed troubleshooting guides and runbooks. - Contribute to automation and tooling initiatives to streamline daily troubleshooting. - Partner with the engineering team and

Sr Technical Solutions Engineering McLean, Virginia About 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. Founded by engineers - and customer obsessed - we leap at every opportunity to solve 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. The Role As data and Generative AI applications become increasingly foundational to public sector modernization and national security, safeguarding the infrastructure that powers them is paramount. Databricks is looking for a Sr Technical Solution Engineer to join our Cleared Engineering team in McLean, VA. This team sits at the critical intersection of core infrastructure operations and active platform reliability, ensuring our multi-cloud data enclaves and advanced AI software run flawlessly inside highly secure, air-gapped partitions. In this role, you will move beyond reactive ticketing to tackle complex system and network environment blocks, serving as a primary technical pillar for our secure GovCloud operations. This position offers a unique opportunity to own the operational integrity of high-side platform interactions. You will be responsible for executing sophisticated debugging, deep-dive environment analysis, and running specialized tooling and scripts to unblock internal engineering teams. Operating within

Staff Software Engineer - Frontend (NYC) New York City, New York P-1980 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 Intelligence 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. As one of the first engineers in the NYC Engineering office, you'll have the opportunity to be part of a small, nimble team that's innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you'll have: - Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency - Partner closely with product management, design and other engineering teams to build intuitive and extensible products that drive user & business growth - Lead by example with hands-on front-end and full-stack software development

Sr. Technology Partner Manager, Startup Program San Francisco, California RDQ427R469 Why this role Databricks is unifying the Neon & Databricks Startup Programs into a single, ecosystem-led motion that meets high-growth startups on Day 0 and grows with them through their natural journey from their first Postgres write to model serving, BI, and analytics at scale. We are hiring a Startup Program Lead to own the success and operation of this program end-to-end: strategy, VC and accelerator relationships, day-to-day operations, program metrics, and the ecosystem presence that keeps Databricks at the center of where the next generation of startups is building. This is a strategic product partnership motion, not an enterprise sales or business development role. The impact you'll have - Own and operate the Databricks Startup Program. Set strategy and hit targets for accepted startups, graduated ARR, partner count, and accelerator batch adoption. - Represent Databricks in the startup ecosystem. Be a visible face of Databricks for founders in San Francisco. Organize talks, moderate panels, and build the founder-to-founder and founder-to-investor trust that compounds over years. - Build and execute a VC ecosystem strategy. Source partner segments (top-tier funds, seed funds, operator angels, accelerators) and develop engagement plans by stage, sector, and geo to drive intros, events, and program enrollments. - Drive ecosystem engagement. Design and run repeatable activation motions such as partner office hours, founder workshops, co-branded content, scouts programs, partner-in-residence pilots - and codify what works into playbooks that others can run. - Run monthly operating reviews with

Senior Customer Enablement Architect United States CSQ128R2 Mission: At Databricks, we're on a mission to help data and AI teams solve the world's toughest problems and that starts with empowering our customers. The Customer Enablement team drives this mission forward by helping enterprise organizations develop the skills they need to accelerate adoption, transformation, and measurable business outcomes. As a Customer Enablement Architect, you'll own the commercial success of Databricks' training and enablement portfolio across the Americas Business Units. Reporting to the Americas Customer and User Enablement Leader, we are looking for a US-based Customer Enablement Architect to work with cross-functional teams, including Sales, Field Engineering, Professional Services and Scaled User Enablement to position the value of Databricks training, develop custom enterprise learning plans and drive talent transformation with strategic accounts. This is a highly visible, customer-facing role where your ability to connect learning solutions with business outcomes will directly influence customer retention, expansion, and top-line growth. You'll work closely with account executives, engagement managers, and solution architects to position Databricks training and certification programs as a strategic investment in each customer's data and AI journey. From diagnosing skill gaps to building tailored enablement roadmaps, you'll ensure our customers have the knowledge and confidence to realize the full value of their Databricks platform. The impact you will have: - Drive the commercial success of Databricks' learning and enablement offerings across enterprise accounts for the assigned Americas Business Unit. - Partner with sales and customer success teams to position learning as a

Staff Software Engineer - User Activation San Francisco, California P-925 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. As a Staff Engineer on the User Activation team, you will play a critical role in driving the technical vision, architecture, and execution for horizontal product experiences that accelerate customer adoption and growth. Sitting at the entry point for all Databricks customers, you will help guide a team of ~20 software engineers to create seamless onboarding flows, intuitive workspace experiences, and partner integrations that power Databricks expansion. The impact you'll have: - Define and drive the strategy for customer onboarding, workspace experience, account management, and other horizontal product experiences. - Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive product-led growth. - Lead architectural decisions to ensure performance, reliability, and simplicity across core user flows. - Hands-on full-stack software development to create dynamic, user-centric experiences. - Drive best practices for

Sr. Technical Marketing Engineer - Lakebase/Apps United States MKTQ227R21 At Databricks, Lakebase and Databricks Apps enable teams to build data-native applications where transactional data, analytics, and AI operate on the same platform. Lakebase provides a managed Postgres transactional layer for application state and operational workloads, while Databricks Apps supports building and deploying secure applications that run close to governed data and models. We are looking for a Senior Technical Marketing Engineer to help developers and data teams design, build, and operate applications using Lakebase and Databricks Apps. This role focuses on building projects end-to-end and translating platform capabilities into clear, practical guidance through demos, reference architectures, and technical content. This role reports to the Director of Technical Marketing and works closely with product, engineering, and field teams. You will work closely with Lakebase and Databricks Apps product and engineering teams to validate application patterns and translate platform capabilities into practical guidance, partner with field engineering to build and scale customer-ready demos and workshops, and support application developers and data engineers as the primary audience, with a focus on Postgres-backed transactional workflows and data-native applications that combine operational data, analytics, and AI. The impact you will have: - Build and maintain end-to-end demo applications using Lakebase and Databricks Apps, covering transactional workflows, application state, analytics, and AI integration. - Design and document reference architectures and application patterns that combine database semantics, analytics, and AI on the same data. - Tell a clear and compelling technical story through the applications you build,

Sr. Product Manager, Data Governance Seattle, Washington RDQ226R497 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. You will be a Sr Product Manager for Unity Catalog ( https://databricks.com/product/unity-catalog ). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. This role is requires coordinating all 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. The impact you will have: - Design and launch new governance and security capabilities as part of Unity Catalog. - Define and build new platform services that enable Databricks' data & AI product teams (ML/AI, Data Science & Engineering,

Senior Azure DevOps Engineer Milton Keynes, Buckinghamshire, United Kingdom Milton Keynes, Buckinghamshire, United Kingdom What success looks like in this role: We are seeking a highly skilled Senior DataOps / Azure DevOps Engineer to join our core data platform team. This role combines Azure CloudOps , Infrastructure as Code , and CI/CD engineering with a strong focus on platform reliability, security, and automation . The mission is to design, build, and operate a secure, scalable, and automated Databricks Lakehouse platform while ensuring enterprise‑grade DevOps practices across Azure environments. This is a senior individual contributor position with high technical ownership and cross‑functional impact. Key Responsibilities 1. Infrastructure as Code (Primary) Design, implement, and maintain Terraform‑based IaC for Azure and Databricks. Build reusable modules for multi‑environment and multi‑workspace deployments. Deploy and maintain Azure components: Databricks workspaces & metastores Unity Catalog policies Azure Data Lake Storage Networking, identity, and secure access patterns Implement policy‑as‑code , enforcing compliance, cluster policies, and guardrails. Ensure environments are secure‑by‑default , auditable, and automated end‑to‑end. 2. CI/CD Engineering (Primary) Design and operate CI/CD pipelines using Azure DevOps . Build CI/CD frameworks for Databricks assets (DAB): notebooks, packages, workflows, Delta Live Tables Implement automated validation: linting, tests, schema checks. Establish promotion strategies (dev → test → prod). Integrate Azure DevOps pipelines with Databricks Repos and enterprise Git workflows. 3. Platform Reliability & Operations Build monitoring and observability for Databricks workloads: job health, performance, usage, cost signals Implement alerting and dashboards for proactive operational management. Design systems for: safe rollback,

Staff Backend Software Engineer- (AI Platform) San Francisco, California P-1428 At Databricks, we are passionate about enabling data and AI 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 solve 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 part of the AI Platform team, you'll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You'll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure - with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We're building the infrastructure that powers the next generation of AI. We're hiring across multiple teams in our AI Engineering org including: The impact you will have: - Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few. - Improve reliability, latency, and efficiency of distributed AI workloads - Collaborate with platform,

Databricks Technical Analyst - Basel IV SA‑CCR 2 Locations posted: Posted 30+ Days Ago

Technical Analyst - Databricks, Data Management Belfast - 20 Adelaide Street posted: Posted 30+ Days Ago

Data Engineer III CA SAN RAMON CORP, California, United States of America Join our team as a Senior Data Engineer and lead the design and optimization of complex data pipelines on Databricks. Drive AI/ML innovation, mentor engineers, and shape scalable data solutions for business-critical analytics. Collaborate with cross-functional teams to deliver high-impact data infrastructure and enable advanced analytics in a Fortune 100 environment.

Senior Engineer, Big Data - Claims Data/Databricks - Remote United States Senior Engineer, Big Data - Claims Data/Databricks - Remote

Senior Software Engineer - Tech Lead (AWS, Databricks, SQL) 2 Locations posted: Posted 30+ Days Ago

Data Engineer(Big Data,Cloud - AWS, Databricks) - Assistant Vice President PUNE, Mahārāshtra, India

Senior GenAI Research Engineer - Optimization and Kernels Mountain View, California; San Francisco, California 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 and AI platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company's AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. Job Description As a Sr. Research Engineer on the Scaling team, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible. The Impact you will have As a research engineer on the Scaling Team at Databricks, you will: - Drive performance improvements through advanced optimization techniques