Senior Forward-Deployed Engineer, Government Data & AI

Databricks Inc.; Williamstown (NJ); Hybrid; USD 182,000 - 250,000; Full time

Job summary

Databricks is seeking a Sr. Forward Deployed Engineer to work with federal, state, and local government customers, delivering end-to-end data and AI solutions.

You will own architecture, lead design decisions, and collaborate across engineering, product, and customer relations to ensure secure, scalable outcomes. The role is hybrid with 20-25% travel to client locations, requiring strong customer empathy and hands-on delivery skills.

Qualifications

• 6+ years in data engineering, data platforms or software engineering.
• Fluent in Python, Scala, and JavaScript/TypeScript.
• Experience with two or more cloud ecosystems (AWS/Azure/GCP).
• Deep Spark knowledge and distributed computing.
• CI/CD for production deployments; familiarity with MLOps.
• Strong design, architecture, and end-to-end delivery skills.
• Experience with enterprise clients and stakeholders.

Responsibilities

• Lead production-grade projects delivering reference architectures and data ingestion.
• Guide end-to-end design, build, and deployment of big data and AI apps.
• Embed with customer teams to understand challenges and deliver impact.
• Own architecture decisions ensuring security and scalability.
• Collaborate with engineering, PM, and customer teams for delivery.
• Provide product feedback and drive rapid resolution of issues.
• Develop accelerators and best practices that scale across accounts.
• Engage with executives and technical ICs to maximize value.

Skills

Python

Scala

JavaScript/TypeScript

Cloud platforms (AWS/Azure/GCP)

Spark/Big Data

CI/CD

MLOps/ML models

Technical project delivery

Education

Bachelor's degree or equivalent

Tools

Databricks Certification

Job description

Databricks is seeking a Sr. Forward Deployed Engineer to work with federal, state, and local government customers, delivering end-to-end data and AI solutions.

You will own architecture, lead design decisions, and collaborate across engineering, product, and customer relations to ensure secure, scalable outcomes. The role is hybrid with 20-25% travel to client locations, requiring strong customer empathy and hands-on delivery skills.