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Sr. Forward Deployed Engineer (FDE) - Financial Services

Databricks
Remote - Central United States, travel to customers 20% of the timeUpdated 5d ago
Total compensation
$182k–$250k
Published total compensation range
Location
Remote - Central United States, travel to customers 20% of the time
Remote eligibility
Employment
Full-time
Senior
Role family
Engineering
AI / ML
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About the job

Databricks is the Data and AI company, serving more than 20,000 organizations worldwide, including 70% of the Fortune 500, with its Data + AI Platform. As a Sr. Forward Deployed Engineer (FDE) in Financial Services, you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact; FDEs are billable and complete projects according to specification with exceptional customer empathy.

Responsibilities

  • Lead impactful customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integration.
  • Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications; work with engagement managers to scope technical delivery.
  • Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • Embed with customer teams, engaging stakeholders from technical ICs to executives; contribute accelerators, frameworks, and best practices that scale impact.

Qualifications

  • 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 using 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.
  • Experience designing and deploying production end-to-end data architectures combining data pipelines, ML/AI models, and user-facing interfaces.
  • Experience with technical project delivery, enterprise clients, and managing conflicts across a broad stakeholder range.
  • Travel to customers 20% of the time.

Compensation

Base salary range $182,000—$250,208 USD across all zones. Total compensation may include eligibility for annual performance bonus and equity.

Benefits

Databricks provides comprehensive benefits and perks; specific details vary by region.

Skills & tags

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