Senior Government Data & AI Engineer (Forward-Deployed)

Databricks Inc.; Berkeley (CA); In loco; USD 182.000 - 250.000; Tempo pieno

Descrizione del lavoro

Databricks is seeking a Sr Forward Deployed Engineer to work with federal, state, and local government customers, building and productionizing data and AI solutions on the Databricks platform.

You will own architecture, lead design decisions, and deliver end-to-end systems spanning data engineering, AI, and application development, traveling to client sites as required to deliver measurable business impact.

Competenze

• 5+ years experience in data engineering, data platforms & analytics, or software engineering.
• Fluency in Python, Scala, and JavaScript/TypeScript.
• 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.

Mansioni

• Lead production‑grade data and AI projects by delivering reference architectures and data ingestion pipelines.
• Guide transformational big data projects with end‑to‑end design, build and deployment of AI applications.
• Bootstrap or implement customer projects to ensure adoption and value realization.
• Own architecture decisions to ensure secure, scalable solutions aligned with customer needs and Databricks best practices.
• Collaborate with engineering and support to provide feedback and rapid resolution for engagement issues.
• Embed with customer teams to understand challenges and deliver measurable impact.

Conoscenze

Data engineering

Python

Scala

JavaScript/TypeScript

Cloud platforms

Apache Spark

CI/CD

MLOps

Data architecture

Documentation

Descrizione del lavoro

Databricks is seeking a Sr Forward Deployed Engineer to work with federal, state, and local government customers, building and productionizing data and AI solutions on the Databricks platform.

You will own architecture, lead design decisions, and deliver end-to-end systems spanning data engineering, AI, and application development, traveling to client sites as required to deliver measurable business impact.