Sr. Forward Deployed Engineer (FDE) - Public Sector

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.

As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact.

• Lead impactful customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion and ML/AI model integration.
• Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of big data and AI applications.
• Guide customers on architecture and design; bootstrap or implement customer projects leading to successful adoption of Databricks.
• Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
• Embed with customer teams, engaging with stakeholders from technical ICs to executives.
• Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

• 6+ years experience in data engineering, data platforms & analytics, or software engineering.
• Comfortable writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
• Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps, ML/AI models and AI APIs.
• Experience with technical project delivery — managing scope, timelines and measurable outcomes.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
• Travel to customers 20% of the time.

Pay range: $182,000—$250,208 USD (all zones). Total compensation may include eligibility for annual performance bonus and equity.

Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.