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Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences

Databricks· Engineering
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Hybrid (Central/Eastern Time Zones)$182k - $250.2kFull-timePosted 2mo ago

About the role

Senior hands-on, customer-facing engineer who designs and delivers production-grade data, AI, and application solutions on the Databricks platform for healthcare and life sciences customers. Owns architecture, leads design decisions, and drives end-to-end delivery with a focus on measurable business outcomes and customer empathy.

Responsibilities

  • Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
  • Transformational Impact: Guide strategic customers through end-to-end big data projects including design, build and deployment of AI/ML applications
  • Empower Customers: Guide customers on architecture and design; bootstrap or implement projects to aid adoption of Databricks
  • Own the Architecture: Lead architecture and design decisions ensuring secure, scalable solutions aligned with customer needs and Databricks best practices
  • Collaborate with Databricks technical team, Project Manager, Architect and Customer team to meet engagement needs
  • Provide product and implementation feedback with Engineering and Databricks Customer Support to enable rapid issue resolution
  • Customer Immersion: Embed with customer teams to understand challenges and deliver impact
  • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices to scale impact across accounts

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 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
  • Experience designing and deploying performant production end-to-end data architectures and applications
  • Experience with technical project delivery and translating complex concepts into actionable solutions
  • Documentation and white-boarding skills
  • Experience working with enterprise clients and managing conflicts across stakeholders
  • Curiosity, adaptability, and eagerness to explore new technologies to deploy Databricks-based solutions
  • Willingness to travel to customers 20% of the time
  • Databricks Certification

Skills

Required:Data engineeringPythonCloud platforms (AWS, Azure, GCP)Apache SparkMLOps / ML modelsCommunication / whiteboardingEnterprise client engagement
Nice to have:ScalaJavaScript/TypeScriptCI/CD

Benefits

  • Pay transparency with zone ranges listed; total compensation may include annual performance bonus, equity, and region-specific benefits
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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