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

Databricks
Chicago
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Problem-solving","Documentation","Customer engagement"]

Veteran data engineering architect role delivering end-to-end big data and AI solutions for healthcare and life sciences customers. You’ll design reference architectures, guide customers through deployment, coordinate with engagement managers and engineering teams, and ensure successful project delivery while enabling adoption of the Databricks platform across client environments.

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FursaFursa
Databricks
Databricks
5 months ago

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

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Veteran data engineering architect role delivering end-to-end big data and AI solutions for healthcare and life sciences customers. You’ll design reference architectures, guide customers through deployment, coordinate with engagement managers and engineering teams, and ensure successful project delivery while enabling adoption of the Databricks platform across client environments.
Location: Chicago
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and guide end-to-end big data and AI solution deployments for healthcare and life sciences customers.
  • •Collaborate with engagement managers to scope professional services work and align with customer input.
  • •Architect and implement customer projects, enabling successful adoption of Databricks platforms and reference architectures.
  • •Provide escalation support for customer operational issues and ensure timely delivery of technical components.
  • •Coordinate with Databricks engineering, PM, architects, and customer teams to deliver required technical outcomes.
Travel: Low travel

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics
  • •Proficiency in Python or Scala
  • •Experience with 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
Experience:6+ yearsData engineeringData platformsAnalyticsBig data
Skills:CommunicationProblem-solvingDocumentationCustomer engagement
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkSparkCI/CDMLOpsDatabricks

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn