Senior Forward Deployed Engineer — Government Data & AI

Databricks Inc.; Bristol (RI); Hybrid; USD 182,000 - 250,000; Full time

Job summary

Databricks Inc. is seeking a Sr. Forward Deployed Engineer to work with federal, state, and local government customers, leading end‑to‑end data and AI solutions on the Databricks platform.

You will own architecture, drive design decisions, and deliver production‑grade systems spanning data engineering, AI, and applications. This role is hybrid and requires travel to client sites ~20–25% of the time. You will collaborate across engineering, product, and customer relations, ensuring secure,

Qualifications

• 6+ years in data engineering, data platforms or software engineering.
• Fluency in Python, Scala, JavaScript/TypeScript and modern frameworks.
• Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP).
• Deep experience with distributed computing with Apache Spark and Spark internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps, ML/AI models and AI APIs.
• Design and deployment of performant production data architectures that combine data pipelines, ML/AI models, and UIs.
• Experience delivering technical projects, documentation and white-boarding with enterprise clients.

Responsibilities

• Lead architecture and design decisions for government customer engagements.
• Deliver production‑grade systems and reference architectures.
• Collaborate with Eng, Product and Customer teams to align on outcomes.
• Embed with customer teams to understand challenges and deliver impact.
• Provide accelerators, frameworks, and best practices to scale across accounts.

Skills

Data engineering

Python/Scala/JavaScript

Cloud ecosystems

Apache Spark

CI/CD

MLOps/AI

Architecture leadership

Client engagement

Job description

Databricks Inc. is seeking a Sr. Forward Deployed Engineer to work with federal, state, and local government customers, leading end‑to‑end data and AI solutions on the Databricks platform.

You will own architecture, drive design decisions, and deliver production‑grade systems spanning data engineering, AI, and applications. This role is hybrid and requires travel to client sites ~20–25% of the time. You will collaborate across engineering, product, and customer relations, ensuring secure,