Sr. Product Manager, Data Engineering

Databricks
San Francisco
Workplace: OnsiteFull timeUSD 115,400 - 204,200 annuallyFunction: Product ManagementExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Analytical","Collaboration"]

Lead product management for Lakeflow within Databricks’ Data Engineering suite, guiding vision, strategy, roadmap, and go-to-market. Collaborate with senior engineering leaders and cross-functional teams to drive data ingestion, transformation, and real-time streaming products across the Databricks portfolio, shaping the future of data processing and data pipelines.

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FursaFursa
Databricks
Databricks
4 years ago

Sr. Product Manager, Data Engineering

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Last checked: 1 hour agoStatus: Live

Job Summary

Lead product management for Lakeflow within Databricks’ Data Engineering suite, guiding vision, strategy, roadmap, and go-to-market. Collaborate with senior engineering leaders and cross-functional teams to drive data ingestion, transformation, and real-time streaming products across the Databricks portfolio, shaping the future of data processing and data pipelines.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead product management for Lakeflow product area from ideation to go-to-market.
  • •Own the full life cycle of product development including requirements, development, pricing, launch, and go-to-market.
  • •Partner closely with Engineering and other product teams to enable Data Engineering across the Databricks product portfolio.
  • •Drive Data Engineering across the product portfolio and develop expertise in the domain.
  • •Define and shape the future of data processing, data applications, and data pipelines.

Pay and Benefits

Salary: USD 115,400 - 204,200 annually

Key Requirements

  • •5+ years of product management and related experience with enterprise or SaaS products.
  • •Educational or professional background in computer science or related engineering fields.
  • •Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts.
  • •Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.)
  • •Analytical skills to make data-driven decisions (e.g. analyze product usage)
Experience:5+ yearsData engineeringSaaSEnterprise software
Education:Bachelor's in Computer Science or related engineering fields
Skills:CommunicationAnalyticalCollaboration
Languages:English
Tech Stack:LakeflowSparkDelta LakeMLflowData ingestion

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