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From the employer's careers site First seen 18 Apr 2026 · Still live on 15 Nov 2026

Sr. Product Manager, Data Engineering

Databricks San Francisco, California On-site senior full-time

Salary

$115,400-$204,200 USD

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Description

At Databricks, we are enabling data teams to solve the world's toughest problems by building and running the world's best data and AI infrastructure platform. Data Engineering is foundational and among the largest scale workloads on the Databrick Data Intelligence Platform. We are reinventing Data Engineering with Lakeflow - a unified product and experience for simple data ingestion, declarative data transformation, and real-time streaming.

In this role, you will lead product management for a core Lakeflow product area. You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing. In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, business intelligence, and machine learning products.

The impact you will have includes leading product management for one of the fastest growing products and businesses at Databricks, making company-wide impact by driving Data Engineering across the Databrick product portfolio, developing and deepening understanding of and expertise in Data Engineering, defining, shaping, and driving the future of data processing, data applications, and data pipelines, and owning the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market.

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Skills

Required

  • product management
  • data engineering
  • Lakeflow
  • data ingestion
  • declarative data transformation
  • real-time streaming
  • product vision
  • product strategy
  • roadmap development
  • execution
  • go-to-marketing

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/databricks/jobs/6322654002

Apply on Databricks