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

Databricks
Austin
Workplace: RemoteFull timeUSD 180,656 - 248,360 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Documentation","Collaboration","Problem-solving","Customer service"]

Resident Solutions Architect leads data engineering, data science, and cloud-based projects for healthcare and life sciences using the Databricks platform. You will design reference architectures, guide customers through end-to-end implementations, collaborate with engagement managers, and work with engineering and support teams to deliver production-ready data and AI solutions while traveling up to 20% of the time.

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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

Resident Solutions Architect leads data engineering, data science, and cloud-based projects for healthcare and life sciences using the Databricks platform. You will design reference architectures, guide customers through end-to-end implementations, collaborate with engagement managers, and work with engineering and support teams to deliver production-ready data and AI solutions while traveling up to 20% of the time.
Location: Austin
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and implement end-to-end data architectures and reference architectures for clients.
  • •Guide strategic customers through transformational big data projects, including 3rd party migrations, with end-to-end design, build and deployment of data and AI applications.
  • •Collaborate with engagement managers to scope professional services work and align with customer input.
  • •Provide escalation-level support for customer operational issues and ensure engagement components meet customer needs.
  • •Coordinate with Databricks technical team, Project Manager, Architect, and Customer team to deliver technical components and provide product/implementation feedback.
Travel: Low travel

Pay and Benefits

Salary: USD 180,656 - 248,360 annually

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics.
  • •Proficient 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 with Apache Spark and knowledge of Spark runtime internals.
  • •CI/CD for production deployments, and knowledge of MLOps.
Experience:6+ yearsData analyticsBig dataDatabricksCloudProfessional services
Skills:CommunicationDocumentationCollaborationProblem-solvingCustomer service
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaApache SparkAWSAzureGCPCI/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