Forward Deployed Engineer (FDE) - Public Sector

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe.

As a Sr. Forward Deployed Engineer (FDE), you will work with federal government 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. The role is hybrid and requires travel to customer locations 20-25% of the time. Due to federal contract requirements, U.S. citizenship and eligibility for a U.S. government secret clearance are required.

• Lead impactful customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integration.
• Guide strategic customers on architecture and design; bootstrap or implement customer projects to support adoption of Databricks.
• Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
• Work with the Databricks technical team, Project Manager, Architect, and customer team to deliver engagement technical components.
• Embed with customer teams, engaging stakeholders from technical ICs to executives.
• Contribute accelerators, frameworks, and best practices that scale impact across accounts.

Minimum: 5+ years in data engineering, data platforms & analytics, or software engineering; fluency 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; design and deployment of performant production end-to-end data architectures; experience with technical project delivery, documentation, and white-boarding; experience working with enterprise clients. Preferred: expertise in MLOps, ML/AI models, and AI APIs; Databricks Certification.

Base salary range: $152,900—$210,155 USD. Total compensation may include eligibility for annual performance bonus, equity, and benefits.

Apply through the Databricks careers job posting.