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

Databricks
Atlanta
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Customer service","Problem-solving","Documentation","Collaboration"]

Lead and deliver big data and cloud-based solutions for healthcare and life sciences customers as a resident solutions architect. You will design reference architectures, guide end-to-end data projects, work with engagement teams to scope work, and collaborate with Databricks teams to ensure successful deployment and adoption of data/AI solutions while traveling up to 20% for client engagements.

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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: 4 hours agoStatus: Live

Job Summary

Lead and deliver big data and cloud-based solutions for healthcare and life sciences customers as a resident solutions architect. You will design reference architectures, guide end-to-end data projects, work with engagement teams to scope work, and collaborate with Databricks teams to ensure successful deployment and adoption of data/AI solutions while traveling up to 20% for client engagements.
Location: Atlanta
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and build reference architectures and production-ready data/AI solutions for customer engagements.
  • •Collaborate with engagement managers to scope professional services work with input from the customer.
  • •Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications.
  • •Consult on architecture and design; bootstrap or implement customer projects ensuring adoption of Databricks platforms.
  • •Provide escalated support for customer operational issues and coordinate with engineering and customer support to resolve issues.
Travel: Medium travel

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics
  • •Fluent in Python or Scala
  • •Experience with two or more Cloud ecosystems (AWS, Azure, GCP) and expertise in at least one
  • •Deep experience with Apache Spark and knowledge of Spark runtime internals
  • •CI/CD for production deployments and familiarity with MLOps
Experience:6+ yearsData analyticsBig dataCloud
Skills:CommunicationCustomer serviceProblem-solvingDocumentationCollaboration
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkSparkCI/CDMLOps

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