Sr. Forward Deployed Engineer (FDE) - Public Sector
Databricks- Total compensation
- $182k–$250k Published total compensation range
- Location
- Hybrid - Washington, D.C., MD or VA metro, periodic on-site work Remote eligibility
- Employment
- Full-time Senior
About the job
Databricks is the Data and AI company, serving more than 20,000 organizations worldwide, including 70% of the Fortune 500, with its Data + AI Platform. As a Sr. Forward Deployed Engineer (FDE) in the Public Sector, you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform.
Due to federal contract requirements and client site access obligations, U.S. government Top Secret clearance is required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on-site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.
Responsibilities
- Own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
- 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 successful adoption of Databricks.
- Work with engagement managers to scope technical delivery work; collaborate with engineering, product, and developer relations on strategic priorities.
- Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
Qualifications
- 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 using 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, enterprise clients, and managing conflicts across a broad stakeholder range.
- Travel to customers 20% of the time.
Compensation & Benefits
Pay range: $182,000—$250,208 USD. Total compensation may include eligibility for annual performance bonus, equity, and benefits. Apply via the Databricks careers page.
Skills & tags
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