Jobs at Databricks

Partner with SEMEA sales leadership to shape go-to-market strategy and accelerate regional growth. Analyze large datasets, build scalable stakeholder tools, and own reporting, forecasting, territory planning, quota, and productivity modeling. Lead operational cadences, identify optimization opportunities, resolve data and business challenges, and contribute to EMEA and global initiatives. The role requires strong analytical, technical, communication, and cross-functional collaboration skills in a fast-paced environment.

Own end-to-end product design for Databricks Platform areas serving technical and business users. Responsibilities include defining design direction, conducting customer research, creating prototypes, validating usability, influencing product and engineering decisions, designing reusable UX patterns, contributing directly to code with AI coding agents, and maintaining high visual and interaction quality across complex data and AI workflows.

Drive revenue and usage growth across a strategic enterprise energy account. Develop account plans, identify high-value data and AI use cases, lead transformation initiatives, and build relationships with technical and C-level stakeholders. Collaborate with partners, professional services, training teams, hyperscalers, and global system integrators. The role requires enterprise software sales success, energy-sector expertise, value-based selling, consumption-model experience, and executive presence.

Develop and productionize GenAI applications for customers, including RAG, multi-agent, Text2SQL, and fine-tuned solutions. Serve as a technical advisor, lead production rollouts, optimize model deployments, present technical concepts, collaborate with product and engineering teams, and influence the AI product roadmap. The role requires hands-on data science and machine learning experience, cloud deployment expertise, and customer-facing communication. Travel to customers is required every 4–8 weeks as needed.

Owns end-to-end European payroll operations, compliance, audits, controls, equity and RSU payroll processing, reconciliations, vendor performance, and payroll technology improvements. Leads a team of payroll professionals, partners with HR, Finance, Legal, Tax, and Stock Administration, resolves escalations, ensures accurate and timely payroll delivery, and provides metrics and variance analysis to leadership.

Build and productionize customer data and AI solutions on the Databricks platform. Own architecture and design decisions while delivering end-to-end data pipelines, applications, and ML/AI integrations. Lead technical projects, advise enterprise stakeholders, integrate customer systems, provide training, and ensure scalable, secure production deployments. Collaborate with engineering, product, support, and project teams while contributing reusable frameworks and influencing the product roadmap.

Build and improve Databricks platform features across backend, full-stack, infrastructure, databases, systems, cloud, and customer-facing products. Responsibilities include designing, developing, testing, and operating software in production while delivering reliable, scalable, and secure solutions. New graduates will work collaboratively with mentors and engineering teams on end-to-end projects.

Design, build, and productionize customer-specific full-stack applications on the Databricks platform. Own solution architecture, develop data pipelines and AI integrations, deliver production systems, and collaborate with customer stakeholders, Sales, Product, and Field Engineering. Engage directly with enterprise customers, translate business needs into technical solutions, and create reusable frameworks and best practices. Travel to client sites up to 50% as needed.

Leads a team of 8+ engineers delivering customer data and AI solutions on Databricks. Oversees technical execution, architecture, production readiness, project delivery, customer relationships, hiring, coaching, performance management, and professional services outcomes. Guides secure and scalable deployments across cloud environments while improving team productivity through automation and AI-assisted workflows.

Lead customer-facing delivery of production-grade data and AI solutions on Databricks. Own architecture and design decisions, build end-to-end data pipelines and applications, integrate ML/AI models, guide enterprise customers, manage technical delivery, and contribute reusable frameworks and product feedback. The role requires strong distributed computing, cloud, coding, CI/CD, MLOps, stakeholder management, and technical project delivery skills. Travel to customers is approximately 20%.

Own and grow a strategic enterprise account in the UK transport sector. Develop account plans, exceed usage and booking targets, identify big data and AI use cases, coordinate cloud vendors and global system integrators, support transformation initiatives, engage executives, and drive value-based sales through complex, long-cycle organizations.

Lead customer-facing AI solution architecture and strategic sales engagements across EMEA. Design and implement production-grade machine learning, generative AI, and agentic AI solutions on Databricks, including RAG, tool calling, multi-agent orchestration, evaluation, monitoring, and tracing. Conduct workshops, proofs of concept, demos, and executive engagements; resolve complex technical escalations; collaborate with account teams and system integrators; and provide product roadmap feedback.

Drive net-new enterprise sales of Databricks’ Data and AI platform across UKI public sector organizations. Build territories, self-source pipeline, navigate public sector procurement, engage executive and economic buyers, lead complex sales cycles, and close new-logo business. Partner with cloud providers, solution architects, services, and other cross-functional teams to demonstrate business value, support consumption-based adoption, and achieve quota. The role requires strong enterprise selling, account planning, forecasting, AI tool usage, and eligibility for SC clearance.

Lead full-cycle recruiting for Databricks’ Field Engineering and Forward Deployed Engineering teams across EMEA. Build active and passive talent pipelines, advise leaders on role design and seniority, develop data-driven hiring strategies, manage stakeholder expectations, support workforce planning, improve interview experiences, and advance diversity and inclusion. This is a 12-month fixed-term position with possible extension.

Build Databricks’ EMEA partner product-specialist function, enabling System Integrators to achieve expert-level capability across priority data, AI, database, migration, and governance products. Responsibilities include partner selection, technical upskilling, certification, joint customer wins, launch-partner motions, thought leadership, business-value positioning, and creation of a globally scalable operating model. The role requires deep Databricks expertise, technical pre-sales experience, architecture and coding skills, executive engagement, and up to 40% travel across EMEA.

Lead design and delivery of production-grade ML and GenAI solutions on the Databricks platform. Architect end-to-end ML pipelines, optimize training/inference, implement MLOps/LLMOps, build MVPs for sales, influence product roadmap, mentor peers, and present technical content externally.

Leads a portfolio of complex technical programs within Forward Deployed Engineering, aligning customer objectives, milestones, dependencies, and delivery outcomes. Drives operational excellence, process innovation, and delivery standards across Professional Services. Serves as a senior technical delivery leader, mentors junior TPMs, coordinates with managers, and applies AI tools to improve program management performance.

Leads go-to-market activities for Forward Deployed Engineering and Training services, independently scoping complex data and AI engagements. Drives full-cycle professional services sales, account expansion, cross-functional alignment, and customer satisfaction. Requires extensive professional services leadership, senior customer-facing experience, knowledge of Databricks architecture and cloud partner programs, large-scale program delivery expertise, and travel of up to 25–50%.

Serve as a technical advisor to enterprise customers, architecting, securing, administering, and automating Databricks deployments across AWS, Azure, and GCP. Lead cloud networking, identity, infrastructure-as-code, platform operations, and distributed data architecture discussions. Demonstrate custom solutions in competitive sales engagements, support platform adoption, collaborate with field teams and partners, influence product direction, and contribute to customer-facing thought leadership. The role requires strong Python and PySpark/Spark coding, Databricks expertise, executive communication, and up to 30% travel.

Serve as a technical advisor for enterprise Databricks deployments across AWS, Azure, and GCP. Architect secure, scalable cloud infrastructure, networking, identity, platform, and data solutions; automate environments with infrastructure-as-code; lead technical architecture discussions and competitive engagements; and drive adoption. The role also coordinates cross-functional resources, influences product direction, mentors team members, creates technical thought leadership, and communicates complex solutions to technical and executive stakeholders.