Senior Data & AI Forward-Deployed Engineer

FDE Times

Paris

Hybrid

EUR 90.000 - 140.000

Vollzeit

14 Tage+

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Zusammenfassung

Databricks is seeking a Forward Deployed Engineer to work directly with customers, owning architecture and delivering end-to-end data, AI, and application solutions on the Databricks platform. You will lead design decisions, train customer teams, and ensure production-grade delivery across data engineering, ML/AI, and software components.

The role is hands-on and customer-facing, requiring collaboration with engagement managers and cross-functional teams to scope, design, and deploy scalable

Qualifikationen

  • 6+ years of experience in data engineering or software engineering.
  • Proficiency in Python, Scala, or JavaScript/TypeScript.
  • Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
  • Deep experience with distributed computing using Apache Spark and knowledge of Spark internals.
  • Familiarity with CI/CD for production deployments.
  • Experience with ML/AI models and AI APIs.

Aufgaben

  • Lead production-grade data and AI solution delivery for customers.
  • Architect and design end-to-end data pipelines, ML/AI models, and applications.
  • Collaborate with engineering, product, and customer teams to scope and execute projects.
  • Ensure solutions are secure, scalable, and aligned with best practices.
  • Embed with customer teams to understand challenges and deliver measurable impact.

Kenntnisse

Data engineering
Distributed computing
Cloud ecosystems
MLOps
Customer-facing

Tools

Python
Scala
TypeScript
CI/CD tooling

Jobbeschreibung

Databricks is seeking a Forward Deployed Engineer to work directly with customers, owning architecture and delivering end-to-end data, AI, and application solutions on the Databricks platform. You will lead design decisions, train customer teams, and ensure production-grade delivery across data engineering, ML/AI, and software components.

The role is hands-on and customer-facing, requiring collaboration with engagement managers and cross-functional teams to scope, design, and deploy scalable

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