Senior Forward-Deployed Engineer, Federal Data & AI

Fdetimes

United States

Ibrido

USD 182.000 - 250.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Databricks is seeking a Sr. Forward Deployed Engineer to partner with federal government customers, architect end-to-end data and AI solutions on the Databricks platform, and lead design decisions across data engineering, AI, and application development.

This hands-on, customer-facing role requires engineering depth, adaptability, and a passion for solving complex problems that drive measurable outcomes. The position involves traveling 20–25% to client locations and delivering with strong

Competenze

  • 6+ years of data engineering, data platforms & analytics, or software engineering.
  • Fluency in Python, Scala, JavaScript/TypeScript.
  • Cloud experience AWS/Azure/GCP with at least one.
  • Distributed computing with Apache Spark and Spark internals.
  • CI/CD for production deployments; knowledge of MLOps and AI models.
  • Experience delivering for enterprise clients and cross-stakeholder alignment.
  • Nice to have: Databricks Certification.

Mansioni

  • Lead production-grade solutions delivery for federal customers, including architectures, data ingestion, and ML/AI model integration.
  • Guide end-to-end design, build, and deployment of big data and AI applications with customer input.
  • Embed with customer teams and drive adoption of Databricks platforms.
  • Ensure security, scalability, and alignment with best practices across engagements.
  • Collaborate with engineering, product, and support to feed back improvements.
  • Travel to customer locations 20-25% for engagements.

Conoscenze

Data engineering
Python
Scala
JavaScript/TypeScript
Cloud platforms
Apache Spark
CI/CD
MLOps
AI APIs
Data architectures
Client engagement

Strumenti

Databricks

Descrizione del lavoro

Databricks is seeking a Sr. Forward Deployed Engineer to partner with federal government customers, architect end-to-end data and AI solutions on the Databricks platform, and lead design decisions across data engineering, AI, and application development.

This hands-on, customer-facing role requires engineering depth, adaptability, and a passion for solving complex problems that drive measurable outcomes. The position involves traveling 20–25% to client locations and delivering with strong

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