EuropeVisaJobs

Sr. Product Manager, Lakeflow

Databricks · Amsterdam, Netherlands

Confidence
Medium confidence
Posted
Sep 2025 · long-running posting
First seen
24 Oct 2026
Last checked

Evidence

Medium confidence

Databricks is on the Dutch IND register. The posting doesn’t mention visas.

Sponsor register

Dutch IND public register of recognised sponsors

Listed as Databricks. KVK 51208121. Snapshot 26 Oct 2026.

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Job posting

Doesn’t mention visas or relocation.

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Still open

Seen on the job board

First seen 24 Oct 2026. We check every day and remove closed roles.

Where you apply

databricks.com

Databricks’s job board.

Being on the register means Databricks can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.

About the role

RDQ426R402 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Product Manager on the Lakeflow Jobs team , you will shape the future of data-aware orchestration on the Databricks Data Intelligence Platform.

Jobs is Databricks’ built-in orchestrator, managing hundreds of millions of workloads every week with 99.95% reliability. It powers ETL, AI/ML, BI, and streaming workloads for thousands of customers. Your focus will be on evolving control-flow capabilities, authoring experiences, and observability features that allow customers to productionize workflows with best practices like source control, code promotion, and system observability. This role requires a deep understanding of orchestration workflows , data pipelines , and service reliability.

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