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

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

Website LinkedIn

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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: 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

Website LinkedIn