Senior Forward Deployed Engineer for Public Sector AI

Databricks

Columbus (OH)

Hybrid

USD 153,000 - 210,000

Full time

9 days ago

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Job summary

Databricks is seeking a Sr. Forward Deployed Engineer to work with federal government customers on data and AI challenges using the Databricks platform. You will own 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 with 20–25% travel to client sites. You will deliver production-grade architectures, guide transformational big data projects, and ensure secure, scalable

Qualifications

  • 5+ years in data engineering, data platforms or software engineering.
  • Fluency in Python, Scala, JavaScript/TypeScript.
  • Cloud experience (AWS, Azure or GCP) with at least one in-depth.
  • Deep experience with distributed computing using Spark and its internals.
  • CI/CD for production deployments; MLOps knowledge.
  • Architecting end-to-end data architectures combining pipelines, ML/AI models, and interfaces.
  • Experience delivering projects for enterprise clients and managing stakeholders.

Responsibilities

  • Lead architecture and design decisions; deliver secure, scalable solutions.
  • Own end-to-end delivery of data, AI, and application components.
  • Collaborate with engineering, product, and customer teams to meet requirements.
  • Embed with client teams to understand challenges and ensure impact.
  • Create reusable accelerators, frameworks, and best practices.

Skills

Python
Scala
JavaScript/TypeScript
Cloud platforms
Apache Spark
MLOps
CI/CD
Architecture design
Customer engagement

Tools

Databricks Platform
Git / CI pipelines

Job description

Databricks is seeking a Sr. Forward Deployed Engineer to work with federal government customers on data and AI challenges using the Databricks platform. You will own 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 with 20–25% travel to client sites. You will deliver production-grade architectures, guide transformational big data projects, and ensure secure, scalable

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