Jobs at Databricks

Lead technical pre-sales strategy for major life sciences customers across enterprise data, analytics, AI, migrations, real-time systems, and GenAI platforms. Build executive relationships, drive Databricks adoption and consumption, lead complex architecture engagements, coordinate internal and partner teams, develop competitive strategies, mentor architects, and contribute to technical thought leadership.

Leads a UAE-based team of Forward Deployed and AI Engineers delivering enterprise data migrations, lakehouse modernization, AI/ML platforms, generative AI, MLOps, and advanced analytics. Owns regional performance, hiring, delivery governance, customer escalations, executive stakeholder management, and technical talent development across strategic enterprise engagements.

Develop sales opportunities for Databricks across Middle Eastern and African markets. Research target accounts, conduct personalized email, cold-call, and social-selling outreach, maintain prospect communications, identify client needs, and build pipeline in partnership with the broader sales team. The role requires fluent Arabic and English, strong communication skills, interest in big data and AI, and a willingness to develop enterprise software sales expertise. The position is hybrid in Paris.

Build next-generation distributed data storage and processing systems for Databricks Runtime. The role focuses on scalable, high-performance systems supporting workloads from ETL to data science, using strong algorithms, data structures, distributed systems, databases, and big data technologies. The engineer will work toward a multi-year technical vision while delivering incremental customer value.

Build and operate large-scale distributed data systems and SaaS products. Responsibilities may include developing front-end, back-end, and reliability features; architecting scalable services; improving user experiences; deploying and operating cloud infrastructure; and contributing to products such as SQL Analytics, Jobs and Workflows, and the developer ecosystem.

Serve as the embedded marketing insights partner for EMEA leadership by standardizing performance reporting, forecasting targets, maintaining leading indicators, analyzing operational telemetry, supporting pilots, and translating data into actionable recommendations. The role also drives regional adoption of Genie, identifies data risks, supports planning and investment decisions, and represents EMEA requirements within the global Marketing Insights function.

Lead and scale Databricks’ Seoul-based Business Development team. Responsibilities include recruiting and coaching BDRs, developing South Korean pipeline-generation strategy, managing targets, accelerating customer acquisition and consumption growth, collaborating with regional leaders, and analyzing funnel performance to improve efficiency.

Build and maintain scalable AWS infrastructure, Kubernetes workloads, Infrastructure as Code, CI/CD pipelines, and observability platforms. Develop automation, internal CLI tools, and AI-assisted workflows while improving security, reliability, cost efficiency, and availability. Partner cross-functionally with Security, Engineering, Infrastructure, and Support teams, participate in code reviews, document operational procedures, and support platform adoption. The role requires strong Python software engineering skills and independent ownership of infrastructure projects.

Leads Databricks’ Public Sector enterprise sales organization in Ottawa, managing Named and Strategic Account Executives. Responsibilities include coaching sales talent, setting territories and quotas, forecasting revenue, developing customer and partner relationships, driving consumption-based growth, and executing strategic go-to-market plans. The role requires strong enterprise software sales leadership, public-sector experience, executive engagement, value-based selling, MEDDPIC and Challenger methodologies, partner ecosystem knowledge, and a record of exceeding quotas.

Lead compensation analytics and AI strategy to transform compensation data into insights, tooling, and forecasts. Own market benchmarking, total comp budget forecasting, competitive intelligence, and partner with Finance and senior leaders on compensation design and equity modeling while ensuring data governance and privacy.

Design, build, and operate a high-scale filesystem platform for data, AI, and agentic workloads. Optimize performance across APIs, microservices, and the Linux kernel; develop distributed storage systems; shape filesystem architecture and content organization; and collaborate on next-generation compute and storage platforms. The role requires expertise in filesystems, FUSE, object storage, cloud infrastructure, containerization, and high-scale content or file-sync products.

Leads multiple engineering teams building and scaling Databricks’ AI/BI Dashboard product and service platform. Responsibilities include hiring and developing engineers and managers, establishing processes, driving product strategy, making architecture decisions, managing technical debt, improving software quality and operability, and applying AI and LLM technologies to product experiences. The role requires extensive distributed systems, SaaS, team scaling, and engineering leadership experience.

Summer 12-week software engineering internship at Databricks for students graduating between fall 2027 and summer 2028. Interns will collaborate with engineers to design, implement, test, and deliver platform features across areas such as backend, infrastructure, cloud, databases, and customer-facing products. Candidates need programming experience in Python, Java, or C++, along with knowledge of algorithms, data structures, and object-oriented programming.

Build features for the Databricks platform as part of a collaborative engineering team. Responsibilities include managing projects end to end, contributing to design and coding, incorporating feedback, and helping develop scalable, high-quality, secure data and AI infrastructure. Interns receive dedicated mentorship and exposure to teams including backend, infrastructure, systems, cloud, databases, tools, and customer-facing products.

Paid 12-week summer internship supporting Databricks product teams. The intern will help build platform features, manage projects end to end, analyze product usage, make data-driven decisions, and communicate complex topics clearly while collaborating with engineers, designers, customers, and other partners.

Build and ship features for the Databricks platform alongside experienced engineers. Responsibilities include managing projects end to end from design through coding and feedback, contributing to scalable infrastructure, and maintaining quality and security. Interns receive dedicated mentorship and collaborate with engineers, peers, and company leaders across platform teams such as backend, infrastructure, systems, cloud, databases, and customer-facing products.

Software Engineering Interns collaborate with Databricks engineering teams to build platform features across backend, infrastructure, systems, cloud, databases, tools, and customer-facing products. Interns manage projects from design through implementation and feedback while learning to build scalable, high-quality, secure systems. The role includes mentorship and participation in a 12-week summer internship cohort.

Join Databricks as an Associate Product Manager in the 2026 new-grad cohort. Work with cross-functional teams to build platform features, manage projects end to end, analyze product usage, communicate complex topics, and solve ambiguous customer problems. Roles are available in Amsterdam and Berlin across areas including machine learning, SQL, ETL, streaming, and data organization.

Software Engineering Interns will work with engineering teams to build Databricks platform features across areas such as backend, infrastructure, systems, cloud, databases, and customer-facing products. Responsibilities include managing projects through design, coding, and feedback while contributing to scalable, high-quality, secure systems. Interns receive mentorship and participate in a 12-week summer cohort.

Twelve-week paid summer internship focused on product management for Databricks’ data and AI platform. The intern will research customer problems, prototype and validate solutions, collaborate with engineering and design teams, ship features, and own a project through launch and iteration. Candidates should be pursuing a computer science or related engineering degree, have experience with AI tooling, SQL or Python, analytical decision-making, and clear communication skills.