Jobs at Databricks

Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities; engage C-level and analytics leaders to modernize analytics; displace legacy BI with governed, conversational AI-powered analytics; lead semantic governance and natural-language access conversations; drive proof-of-value pilots and scale enterprise adoption while enabling field teams.

The Lakebase Sales Specialist will drive revenue by closing Lakebase opportunities, engage with application development teams, and lead sales cycles. Responsibilities include strategic account engagement, field enablement, and market thought leadership, requiring deep knowledge in enterprise SaaS sales and operational databases.

The Strategic Customer Advisor will engage C-level executives and guide high-stakes sales opportunities, focusing on transforming customer engagement and improving internal team effectiveness.

Design and implement AI/ML platform capabilities across model training, evaluation, deployment, monitoring and management; integrate with ecosystem frameworks; contribute to open-source projects; and mentor junior engineers.

Design and implement platform capabilities to support AI/ML lifecycle (training, deployment, monitoring, management) and integrations with ecosystem frameworks. Contribute to open-source AI/ML projects, collaborate with the AI community, and mentor junior engineers.

Own and operate an AI-first sales prospecting program: design metrics, reporting, governance, sequencing, adoption, enablement, and executive cadences. Partner cross-functionally (AI Ops, Sales Ops, GTM Analytics, Enablement) to build data foundations, run reviews, drive adoption, and iteratively improve AI-native prospecting at scale.

Lead and develop a regional team of Customer Enablement Architects across APJ, redesign enterprise enablement workflows, drive AI adoption and MAU activation, build custom prototypes and tools, align executives and account teams on capability roadmaps, liaise with global curriculum teams, and travel extensively across APJ to support strategic accounts and a dispersed team.

The Enterprise Account Executive will drive sales of Databricks' Unified Analytics Platform by engaging with enterprise customers, managing sales pipelines, and achieving revenue targets.

Lead a team of Enterprise Account Executives, achieving sales targets and fostering growth among strategic financial services accounts. Build relationships, communicate value propositions, and execute strategic revenue plans.

Drive technical pre-sales engagements for Databricks in Singapore: build client relationships, demonstrate Spark and Databricks solutions, author reference architectures and demos, advise on big data architecture, and collaborate with account and solutions teams to win business and develop into a Solutions Architect.

Lead and scale a regionally focused Forward Deployed Engineering team partnering with enterprise accounts to deliver data platform migrations, AI/ML and GenAI solutions. Drive delivery governance, billable performance, and high-stakes customer engagements while mentoring engineers and ensuring measurable business impact.

Lead and manage a team of Partner Solutions Architects, providing technical guidance to consultative partners, driving customer success, and enhancing partner engagement with the Databricks platform.

Provide commercial legal support for Databricks across Asia: negotiate enterprise cloud and SaaS agreements, advise on data privacy, security, AI, and IP issues, update legal templates, and partner with sales, finance, security, and product teams to enable revenue and new-market entry.

Embed with strategic customers to design and deliver end-to-end Databricks-based solutions. Lead architecture, build fullstack applications, integrate data pipelines and ML/AI models, and collaborate cross-functionally to deliver production-grade systems and reusable assets that drive measurable enterprise impact.

Lead pre-sales technical engagements in Indonesia: build relationships, deliver hands-on Spark evaluations and demos, advise on architecture and design, author reference assets, and collaborate with account teams to drive adoption of Databricks solutions.

Lead technical pre-sales engagements for the Databricks Data Intelligence Platform: develop customer engagement strategies, coach junior architects, design and demo architectures, run complex proofs-of-concept on public cloud, influence stakeholders and deliver customer-facing collateral, workshops, and technical leadership.

Partner with account teams to drive Databricks adoption by designing and demonstrating scalable big-data architectures and proofs-of-concept. Engage customers in technical sales, scope use cases, deliver solution designs, author reference architectures, and lead regional technical workshops to support successful platform adoption.

Build and productionize cutting-edge GenAI applications (RAG, multi-agent systems, Text2SQL, fine-tuning), deploy and optimize production ML systems on cloud platforms, advise and collaborate with customers and cross-functional product and engineering teams, and represent Databricks externally at conferences.

Partner with Account Executives to drive adoption of the Lakebase product line by designing technical strategies, delivering demos/workshops, resolving tier-3 escalations, enabling customers at scale, and influencing roadmap through field-derived insights. Use deep OLTP, cloud, Lakehouse, and data ecosystem expertise to architect solutions and ensure mission-critical success.

Sell Databricks enterprise cloud data platform into digital-native enterprises across Greater China. Prospect and close new accounts, expand existing accounts, identify use cases, coordinate cross-functional teams, and communicate technical and business value to accelerate deals.