Jobs at Databricks

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.

Sell Databricks to commercial/mid-market accounts across ASEAN by developing account strategies, identifying use cases, mapping whitespace, and driving consumption-based adoption. Use solution/value-based selling, engage technical and business stakeholders, co-sell with cloud partners, track opportunities in Salesforce, and collaborate cross-functionally to close new business and grow existing accounts.

Embed with strategic customers to design and deliver full‑stack applications on the Databricks platform. Own architecture, implement end-to-end systems spanning data engineering, ML/AI model integration, and user-facing apps. Drive solution delivery, collaborate with Sales/Product/Field Engineering, and contribute reusable accelerators and best practices.

The Enterprise Account Executive will drive sales growth by managing existing accounts and closing new enterprise accounts in the Philippines, using Salesforce to track customer interactions and promoting Databricks' enterprise data platform.

The role involves leading strategic partnerships, driving consumption growth, executing market strategies, and building relationships with executives in APJ for Databricks.

The Account Executive will achieve revenue growth by selling Databricks solutions to public sector clients, managing both new and existing accounts, and driving customer success through strategic engagement.

Manage and oversee multiple concurrent big data projects, ensuring successful delivery and customer satisfaction while achieving commercial goals.

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.

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.

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.

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.

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.

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.

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