Senior Forward Deployed Engineer – Federal Data & AI

Cacheflow

United States

Hybrid

USD 182,000 - 250,000

Full time

14 days+
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Job summary

Databricks is seeking a Sr. Forward Deployed Engineer to work with federal government customers. You will own architecture, lead design decisions, and implement end-to-end data, AI, and application solutions on the Databricks platform.

The role is hands-on and customer-facing, requiring engineering excellence, adaptability, and strong collaboration with engineering, product, and customer teams. This position is hybrid with 20-25% travel.

Qualifications

  • 6+ years of data eng, data platforms, analytics, or software engineering.
  • Fluency in Python, Scala, JavaScript/TypeScript and modern frameworks.
  • Cloud expertise across two+ ecosystems (AWS/Azure/GCP) with at least one deep.
  • Experience with distributed computing using Apache Spark and Spark internals.
  • CI/CD for production deployments; basic MLOps/ML model concepts.
  • Experience delivering technical projects to enterprise clients with stakeholder management.

Responsibilities

  • Lead production-grade solutions for federal government clients using Databricks platform.
  • Own architecture, drive design decisions, and ensure secure, scalable deployments.
  • Deliver end-to-end data pipelines, ML/AI integration, and user-facing interfaces.
  • Collaborate with engineering, product, and client teams; train and support customers.
  • Embed with customer teams and create accelerators, frameworks, and best practices.
  • Travel to customer locations 20-25% and maintain strong customer empathy.

Skills

Programming: Python/Scala/JavaScript/"

Job description

Databricks is seeking a Sr. Forward Deployed Engineer to work with federal government customers. You will own architecture, lead design decisions, and implement end-to-end data, AI, and application solutions on the Databricks platform.

The role is hands-on and customer-facing, requiring engineering excellence, adaptability, and strong collaboration with engineering, product, and customer teams. This position is hybrid with 20-25% travel.

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