Databricks

4 weeks ago

Senior Field Technical Program Manager, Professional Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 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

Website LinkedIn

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Databricks

4 weeks ago

Senior Field Technical Program Manager, Professional Services

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

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

Website LinkedIn