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← Databricks Mosaic

Sr. Forward Deployed Engineer (FDE) - Financial Services

Databricks Mosaic · Washington, D.C. · Remote - California

CHECKED 14H AGO

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

At a glance

Highlights

  • Lead production-grade data and AI systems for financial services customers.
  • Embed with strategic customers to deliver transformational big data projects.
  • Build reusable accelerators and frameworks scaling impact across accounts.

What they offer

  • Performance bonus
  • Equity
  • Comprehensive benefits

Ideal candidate

A customer-obsessed builder with 6+ years in data engineering who thrives at the intersection of technology and business impact, combining curiosity, adaptability and empathy to deliver 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 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 end-to-end data architectures combining pipelines, ML/AI models and user interfaces
  • Experience with technical project delivery managing scope, timelines and measurable outcomes
  • Documentation and white-boarding skills
  • Experience working with enterprise clients and managing conflicts across stakeholders
  • 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 ↗