Jobs at Databricks

Lead technical pre-sales and solution architecture for Databricks Lakehouse customers. Advise sales and product teams, design big data and ML architectures, implement proofs-of-concept, validate cloud integrations, and build technical champions across strategic accounts.

Manage and scale APJ Partnerships team's GTM strategy using data-driven insights, support pipeline/forecast calls, and conduct ROI analyses.

As an Account Executive, you'll drive business growth in India by prospecting for new customers and managing existing accounts, leveraging Databricks' platform to create value and close deals.

Design and run a scalable, data-driven partner enablement operating model across AMER, EMEA, and APJ. Lead governance, planning cadences, QBRs/MBRs, dashboards, automation and AI-enabled workflows, cross-functional execution, escalation resolution, and continuous process improvements to increase predictability and scale.

Provide technical leadership and pre-sales architecture for Databricks Lakehouse solutions. Drive account strategies, design big data and ML architectures, build POCs, validate integrations with cloud and third-party tools, and collaborate with product and engineering to deliver data-driven outcomes.

As an Enterprise Account Executive, you will sell to Enterprise accounts, drive new business, maintain existing relationships, and exceed revenue targets while utilizing Salesforce for tracking customers and opportunities.

The role involves selling Databricks' enterprise cloud data platform to enterprise accounts, managing existing customer relationships, and closing new accounts. The candidate must exceed sales targets while articulating complex cloud technologies and developing relationships with key decision-makers.

Drive revenue for Lakebase by identifying, qualifying, and closing opportunities, engaging with technical and business stakeholders, and orchestrating proof-of-value for operational workloads.

The Senior Big Data Engineer will manage customer engagements, develop big data architectures, and guide clients in utilizing the Databricks platform effectively.

Customer-facing senior engineer who architects and delivers production-ready big data and AI solutions on Databricks across cloud platforms. Advises customers, builds reusable automation, designs reference architectures, supports migrations, and partners with engineering and support to drive product improvements and adoption.

Own the non-technical lifecycle of Field Deployment engagements: partner with sales to define C-suite value and MVPs, write PRDs, prioritize engineering backlogs, drive agile delivery, act as hands-on QA, manage launches and adoption, and scope ongoing maintenance while identifying growth opportunities.

Serve as the field product manager for FDE engagements: scope C-suite value, define pilot MVP and PRD, prioritize engineering backlog, run agile delivery, manage launch and adoption, and hand off ongoing maintenance and growth opportunities.

Customer-facing engineering role delivering production-grade data and AI solutions on Databricks. Lead architecture, build end-to-end data pipelines, ML/AI integration, applications, and reusable assets. Collaborate cross-functionally, drive technical delivery, train and embed with customers, and contribute product and implementation feedback to scale impact.