Senior Field Technical Program Manager, FDE

Databricks
France
Workplace: RemoteFull timeFunction: Program & Project Management (PMO)Experience: 6+ yearsSkills: ["Communication","Customer service","Problem-solving"]

Technical Program Manager leading professional services engagements for Databricks, guiding multi-disciplinary teams across data engineering, data science, and cloud projects. Responsible for scope, design reviews, end-to-end delivery of big data and AI solutions, and ensuring customer success through architecture guidance, project management, and rapid issue resolution.

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FursaFursa
Databricks
Databricks
2 months ago

Senior Field Technical Program Manager, FDE

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Technical Program Manager leading professional services engagements for Databricks, guiding multi-disciplinary teams across data engineering, data science, and cloud projects. Responsible for scope, design reviews, end-to-end delivery of big data and AI solutions, and ensuring customer success through architecture guidance, project management, and rapid issue resolution.
Location: France
Workplace: Remote
Employment Type: Full time
Job Function: Program & Project Management (PMO)

Key Responsibilities

  • •Design and architect end-to-end data projects, including reference architectures and productionalizing customer use cases
  • •Scope and plan professional services work with input from the customer and engagement managers
  • •Guide strategic customers through transformational big data projects, migrations, and deployment of industry-leading big data and AI applications
  • •Consult on architecture and design; bootstrap or implement customer projects to drive adoption of the Databricks platform
  • •Provide escalated support for customer operational issues and ensure timely resolution
Travel: Medium travel

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics
  • •Comfortable writing code in either Python or Scala
  • •Working knowledge of 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
  • •Familiarity with CI/CD for production deployments
Experience:6+ yearsBig dataDatabricksCloudSpark
Skills:CommunicationCustomer serviceProblem-solving
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaApache SparkAWSAzureGCPCI/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