Hybrid Forward Deployed Engineer, Data & AI — Secret/TS Clearance

Databricks Inc.; Connecticut; Ibrido; USD 182.000 - 250.000; Tempo pieno

Descrizione del lavoro

Databricks is seeking a Sr. Forward Deployed Engineer to partner with federal government customers, architecting and delivering end-to-end data, AI, and application solutions on the Databricks platform.

You will lead design decisions and work across engineering, product, and customer teams to ensure successful deployments. The role emphasizes real customer impact, hands-on implementation, and building scalable reference architectures while maintaining security and partner alignment.

Competenze

• 5+ 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 AI APIs.

Mansioni

• Lead production-grade data and AI projects for federal government customers.
• Own architecture decisions to ensure secure, scalable solutions aligned with Databricks practices.
• Collaborate across engineering, product, and customer teams to deliver end-to-end solutions.
• Embed with customer teams to understand challenges and deliver measurable impact.
• Develop accelerators, frameworks, and best practices that scale across accounts.

Conoscenze

Python

Scala

JavaScript/TypeScript

Cloud platforms

Apache Spark

CI/CD

MLOps

AI APIs

Customer-facing

Formazione

Databricks Certification

Descrizione del lavoro

Databricks is seeking a Sr. Forward Deployed Engineer to partner with federal government customers, architecting and delivering end-to-end data, AI, and application solutions on the Databricks platform.

You will lead design decisions and work across engineering, product, and customer teams to ensure successful deployments. The role emphasizes real customer impact, hands-on implementation, and building scalable reference architectures while maintaining security and partner alignment.