Databricks

3 months ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 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

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Databricks

3 months ago

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

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

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

Website LinkedIn