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

Databricks
Boston
Workplace: OnsiteFull timeUSD 180,656 - 248,360 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Problem-solving","Presentation"]

Architect and deliver big data solutions for healthcare and life sciences use cases using the Databricks platform. Collaborate with clients, engagement managers, and engineering teams to design reference architectures, implement end-to-end data pipelines, and deploy AI/ML applications while ensuring customer success and timely delivery across time zones.

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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: 2 hours agoStatus: Live

Job Summary

Architect and deliver big data solutions for healthcare and life sciences use cases using the Databricks platform. Collaborate with clients, engagement managers, and engineering teams to design reference architectures, implement end-to-end data pipelines, and deploy AI/ML applications while ensuring customer success and timely delivery across time zones.
Location: Boston
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and guide end-to-end data architectures for healthcare & life sciences engagements.
  • •Provide architecture and design consulting; bootstrap or implement customer projects to enable adoption of Databricks.
  • •Collaborate with engagement managers to scope professional services work with customer input.
  • •Deliver on customer engagements with the Databricks technical team to meet requirements and timelines.
  • •Provide escalated support for customer operational issues and coordinate with engineering and support for rapid issue resolution.
Travel: Low travel

Pay and Benefits

Salary: USD 180,656 - 248,360 annually

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) and 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.
Experience:6+ yearsData engineeringData platformsAnalyticsCloudSparkMLOps
Skills:CommunicationProblem-solvingPresentation
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkCI/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