Senior Forward-Deployed Data & AI Engineer – Federal

Databricks Inc.

Boston (MA)

Hybrid

USD 182.000 - 250.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

Databricks is seeking a Sr. Forward Deployed Engineer to partner with federal government customers, delivering data & AI solutions on the Databricks platform.

You will own architecture, drive design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This hands-on, hybrid role requires travel to customer locations 20-25% and a passion for solving complex problems with measurable business impact.

Qualifikationen

  • 6+ 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.

Aufgaben

  • Lead architecture and design decisions for production-grade data & AI solutions.
  • Own end-to-end delivery of data pipelines, ML/AI models and applications.
  • Collaborate with engineers, product, and customer teams to ensure alignment with client needs.
  • Provide training and technical guidance to customers and teammates.
  • Ensure solutions are secure, scalable, and aligned with Databricks best practices.
  • Develop reusable accelerators and contribute to the Databricks product roadmap.

Kenntnisse

Python/Scala/JS/TS
Apache Spark
CI/CD
MLOps
Cloud platforms

Tools

Databricks Certification

Jobbeschreibung

Databricks is seeking a Sr. Forward Deployed Engineer to partner with federal government customers, delivering data & AI solutions on the Databricks platform.

You will own architecture, drive design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This hands-on, hybrid role requires travel to customer locations 20-25% and a passion for solving complex problems with measurable business impact.

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