Data Platform Product Manager
IT Services and IT Consulting · 201-500 employees
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About the role
You will own the backlog and roadmap for a Databricks-based data platform while coordinating between product managers and the platform engineering team. Additionally, you will establish structure and standards for platform service documentation and backlog hygiene.
What they look for
Requirements
Candidates must have experience as a Product Owner or Product Manager for data infrastructure and a strong understanding of data architecture concepts like Lakehouse and data mesh. You must be based in Prague and possess excellent communication skills to manage stakeholders and platform dependencies.
Benefits
Full description
What you work on today shapes where you’ll be tomorrow.
Looking for your next challenge as a Data Platform Product Manager? We may have the right opportunity for you.
At B3, we start with people and their experience. We match projects to your skills and professional growth path. Our consultants work across a wide range of industries and technologies, delivering IT projects both in Poland and internationally. This allows you to build your career in a deliberate way - not by chance.
We are part of an international organization listed on Nasdaq Stockholm, operating in 11 countries. In Poland, we operate with full autonomy. We choose our technologies, processes, and ways of working while maintaining the highest professional standards.
Join us today.
What we offer
- Work in a Scandinavian culture built on logic, trust, and open dialogue.
- Health and sports benefits tailored to your needs.
- Speed Coaching – short sessions designed to provide new perspectives and solutions.
- Sports training, an internal team, and opportunities to take part in competitions.
Role areas:
- Data platform backlog and roadmap ownership - Managing the Feature-level backlog for a Databricks-based data platform, collecting needs from business projects, prioritizing and sequencing the delivery of infrastructure features (e.g. observability, FinOps, integrations), and consolidating similar requests into shared patterns (e.g. one connector instead of several separate integrations)
- Coordination between product managers and the platform team - Acting as the platform team's interface towards Stream Leads, Epic Owners and business product managers, aligning scope, priorities and dependencies, coordinating risks, release readiness, changes and handovers, and communicating the plan to the engineering team and stakeholders
- Bringing structure and standards to the platform team - Ensuring backlog hygiene and that specifications are ready before work starts, structured PBIs and Definition of Done, platform service documentation standards, and supporting adoption by the teams using the platform
What you need to join us:
Must have:
- Experience as a Product Owner / Product Manager for a data platform or data infrastructure (not limited to data catalogs), including Feature-level backlog ownership, prioritization and translating demand into actionable backlog items
- Strong understanding of data architecture and data infrastructure, and of data concepts: Lakehouse, medallion architecture (bronze, silver, gold) in practice, not just by name, data products, data contracts, data mesh
- Technical profile - comfortable discussing conceptual architecture and able to make sound judgments on which platform feature to develop first (you don't need to be a former developer)
- A strong drive for structure and discipline: structured PBIs, Definition of Done, backlog hygiene, combined with excellent communication and stakeholder management and a clear understanding of your role's boundaries
- Living in Prague, Czechia (metropolitan area) and able to come to the office for meetings
Nice to have:
- Experience with Databricks (alternatively Snowflake)
- Experience in organizations where a structured way of working (PBIs, Definition of Done) genuinely sped up delivery
- Experience coordinating dependencies, risks, releases and handovers in an Agile/DevOps environment
- Experience building platform service documentation standards and supporting their adoption
- Familiarity with areas such as observability, FinOps or data integrations
- AI experience - a plus, but not expected
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