Skip to content
← Databricks Mosaic

Sr. Forward Deployed Engineer - FDE (Fullstack)

Databricks Mosaic · Zürich, Switzerland

CHECKED 15H AGO

Infrastructureonsitesenior
Apply on the lab’s site ↗

At a glance

Highlights

  • Lead production-grade data and AI solutions for strategic customers.
  • Own end-to-end architecture spanning data engineering, AI and apps.
  • Embed with customer teams to deliver measurable business impact.

Ideal candidate

Customer-obsessed builder with 6+ years in data or software who thrives at the intersection of technology and business impact. Curious, adaptable, and hands-on, you love embedding with teams to solve complex problems.

Requirements

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering
  • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
  • Working knowledge of two or more common 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
  • Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces
  • Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions
  • Documentation and white-boarding skills
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range
  • Demonstrate curiosity, adaptability, and eagerness to explore new technologies which support deployment and integration of Databricks-based solutions

Lab profile

About Databricks Mosaic

Builds unified data analytics and AI platform to productionize AI applications.

What they build

  • Databricks platform
  • Unified Data Analytics and AI
  • AI platform

Known for

  • Forward-deployed AI engineering
  • Productionizing first-of-kind AI applications
  • Customer platform adoption and scale
  • Cross-functional engineering and product collaboration
More about Databricks Mosaic →
Apply on the lab’s site ↗