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: 12 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

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: 12 hours agoStatus: Live

Job Summary

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

Website LinkedIn