Senior Forward Deployed Engineer – Data & AI (Secret/TS)

FDE Times

Virginia

Hybrid

USD 182,000 - 250,000

Full time

5 days ago
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Job summary

Databricks seeks a Sr. Forward Deployed Engineer to partner with federal government customers, owning architecture and end-to-end delivery of data and AI solutions on the Databricks platform.

This hands-on, customer-facing role emphasizes measurable outcomes and strong collaboration across engineering, product, and customer teams. The position is hybrid with 20–25% travel to client locations and requires deep experience in data engineering, Spark, and MLOps to deliver secure, scalable solutions

Qualifications

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering.
  • Fluency in 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 APIs.
  • Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
  • Experience with technical project delivery, documentation and white-boarding skills.
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
  • Preferred: Databricks Certification

Responsibilities

  • Lead production-grade customer technical projects including design of reference architectures and data ingestion.
  • Oversee end-to-end design, build and deployment of big data and AI applications with customer input.
  • Guide customers on architecture and design to ensure secure, scalable solutions.
  • Own architecture decisions to align with customer needs and Databricks best practices.
  • Coordinate with technical teams to deliver all engagement components on schedule.
  • Collaborate with engineers and support to provide product and implementation feedback.
  • Embed with customer teams to understand challenges and deliver impact.
  • Contribute accelerators, frameworks, and best practices to scale impact across accounts.

Skills

Python
Scala
JavaScript/TypeScript
Modern frameworks
AWS
Azure
GCP
Apache Spark
CI/CD
MLOps
Data architectures
Enterprise clients

Tools

Databricks Certification

Job description

Databricks seeks a Sr. Forward Deployed Engineer to partner with federal government customers, owning architecture and end-to-end delivery of data and AI solutions on the Databricks platform.

This hands-on, customer-facing role emphasizes measurable outcomes and strong collaboration across engineering, product, and customer teams. The position is hybrid with 20–25% travel to client locations and requires deep experience in data engineering, Spark, and MLOps to deliver secure, scalable solutions

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