Senior Data Platform PM & Engineer — Databricks-Driven

Viaplay Group

Stockholms kommun

Hybrid

SEK 900,000 - 1,300,000

Full time

3 days ago
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Benefits offered by this job

30 days vacation
Pension & insurance
Parental leave
Wellbeing allowance
Hybrid work model
Learning culture
Hack Days
Unlimited Viaplay access

Job summary

Viaplay Group in Stockholm is seeking a Technical Product Manager, Data Platform / Senior Data Engineer to shape the future of Viaplay's data platform and drive its strategy and adoption.

You will stay hands-on as an engineer while leading platform initiatives, collaborating with engineering leaders, and delivering data products that scale across analytics, ML, and operational use cases. The role combines product thinking with deep technical execution.

Qualifications

  • Extensive experience in data engineering and data platforms.
  • Experience defining roadmaps and driving product strategy for technical platforms.
  • Ability to engage with senior engineering stakeholders and influence decisions.
  • Excellent communication bridging engineering, data and business domains.

Responsibilities

  • Own the data platform product vision and roadmap for Viaplay.
  • Partner with engineering leaders to identify opportunities and use cases.
  • Expand Databricks adoption beyond analytics and reporting workloads.
  • Identify platform gaps and propose value-adding solutions.
  • Contribute to architecture discussions and platform modernization.
  • Mentor engineers within the Data Platform team.

Skills

Data engineering
Data platforms
Databricks
Platform thinking
Roadmapping
Stakeholder engagement
Communication

Tools

Databricks
Snowflake
BigQuery
Delta Lake
Unity Catalog
Lakehouse architectures

Job description

Viaplay Group in Stockholm is seeking a Technical Product Manager, Data Platform / Senior Data Engineer to shape the future of Viaplay's data platform and drive its strategy and adoption.

You will stay hands-on as an engineer while leading platform initiatives, collaborating with engineering leaders, and delivering data products that scale across analytics, ML, and operational use cases. The role combines product thinking with deep technical execution.

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