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As a Solutions Architect, you'll leverage data engineering and AI to guide customers in integrating with Databricks, solve business challenges, and provide technical leadership through consulting and collaboration with sales and product teams.

The AI Engineer will develop and deploy GenAI applications, serve as a technical advisor, and collaborate on strategic initiatives in AI at Databricks.

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.