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← Databricks Mosaic

Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games

Databricks Mosaic · New York City, New York · Remote - Texas

CHECKED 15H AGO

Infrastructureremotesenior$182k–$250k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build production-grade data and AI systems for media and entertainment customers.
  • Embed with customer teams to deliver transformational big data and AI applications.
  • Design reference architectures that scale impact across accounts and product roadmap.

What they offer

  • performance bonus
  • equity
  • comprehensive benefits

Ideal candidate

A customer-obsessed builder with 6+ years in data or software who thrives at the intersection of technology and business impact. Curious, adaptable, and empathetic, you love embedding with clients to solve complex problems that drive measurable outcomes.

Requirements

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering
  • Comfortable 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 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 end-to-end data architectures combining pipelines, ML/AI and UIs
  • Experience with technical project delivery managing scope, timelines and measurable outcomes
  • Documentation and white-boarding skills with enterprise client stakeholder management
  • Travel to customers 20% of the time
  • Databricks Certification

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 ↗