Jobs at Databricks

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%.

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.

Lead customer-facing delivery of production-grade data and AI solutions using Databricks. Own architecture and design decisions, build end-to-end data pipelines, applications, and ML/AI integrations, and guide enterprise customers through implementation. Collaborate with engineering, product, project management, and support teams; manage technical scope and outcomes; provide training and documentation; and develop reusable frameworks and best practices. Travel to customers approximately 20% of the time.

Design and deliver custom, production-grade full-stack applications and data and AI solutions for strategic Databricks customers. Own architecture, develop backend and frontend systems, integrate data pipelines and AI models, collaborate with customer stakeholders and internal teams, and create reusable accelerators. The role requires strong software engineering across multiple languages and technologies, customer-facing communication, adaptability, and travel to client sites up to 50% of the time.

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.

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.

As a Lead Solutions Architect, you'll drive organizational transformation through Data & AI, engage with executive leaders, and mentor teams.

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.

Drive consumption growth and revenue across startup and mid-market accounts. Responsibilities include prospecting, expanding customer use cases, closing deals, forecasting in Salesforce, exceeding quotas, communicating Databricks platform value, and collaborating with engineering, product, system integrator, ISV, and cloud partners to support customers’ data and AI strategies.

Lead customer-facing delivery of production-grade data and AI solutions on the Databricks platform. Own architecture and design decisions, implement end-to-end data pipelines, applications, and ML integrations, and guide customers through adoption. Collaborate with engineering, product, support, project managers, and executives; manage technical scope and outcomes; resolve implementation challenges; and create reusable frameworks and best practices. The role requires enterprise client engagement, technical leadership, cloud expertise, distributed computing knowledge, and approximately 20% customer travel.

Leads Databricks’ international communications strategy across Europe, Asia, and the Americas. The role develops market-specific PR programs, identifies regional news opportunities, advises business leaders, manages international communications teams and PR agencies, and builds relationships with regional media. It requires strong global communications expertise, people leadership, agency management, and the ability to balance global consistency with local relevance across diverse markets.

Lead technical pre-sales engagements for Databricks, demoing Spark and data/AI solutions, building architectures, authoring reference materials, and collaborating with account teams to design and deliver customised proofs-of-concept and workshops.

Leads and scales Databricks’ EMEA Forward Deployed AI Engineering team, overseeing hiring, mentoring, customer relationships, strategic AI professional services engagements, delivery processes, account outcomes, and cross-functional collaboration with Sales, Product, Research, Engineering, and GTM teams. The role guides enterprise customers through AI/ML transformations, develops scalable engagement models, manages executive stakeholders, and drives production ML and GenAI solutions in cloud environments.

Lead end-to-end technical strategy for customer accounts, design scalable data, AI, streaming, and analytics architectures, and guide production deployments. Serve as a trusted advisor to senior technical stakeholders, drive Databricks adoption and consumption, lead competitive technical wins, coordinate cross-functional resources, and provide product feedback. The role requires strong Python and SQL coding, cloud expertise, distributed data systems knowledge, and excellent communication skills.

Own and expand a strategic portfolio of UK public-sector accounts while developing new departmental and agency opportunities. Build territory go-to-market plans, translate government priorities into Data and AI value propositions, manage consumption-led land-and-expand sales, engage senior stakeholders, develop business cases, and coordinate internal teams, cloud providers, and partners. The role requires disciplined forecasting, structured sales methodology, public-sector procurement knowledge, and security-clearance eligibility.

Sell Databricks’ cloud-based data and AI platform to high-growth, venture-backed digital-native companies. Responsibilities include prospecting, closing new accounts, expanding existing accounts, engaging executives and technical stakeholders, developing account strategies, communicating value, allocating internal resources, and exceeding pipeline, activity, and revenue targets.

Customer-facing AI engineer delivering and productionizing GenAI applications (RAG, multi-agent, Text2SQL, fine-tuning). Own production rollouts, advise customers, present at conferences, and collaborate with product and engineering to shape roadmap and influence priorities.