Data Dictionary Platform Specialist

Heineken; Kraków; On-site; PLN 180,000 - 240,000; Full time

Job summary

HEINEKEN is seeking a Data Dictionary Platform Specialist to own end‑to‑end governance, configuration and enablement of the enterprise Data Dictionary across business functions and technology landscapes.

The role bridges business requirements, data governance and technology, driving platform adoption, metadata standards and integrations with big data and analytics platforms, interacting with technology partners and vendors.

Qualifications

• Experience in defining, standardizing and governing data dictionary assets across domains.
• Strong ability to translate governance requirements into technical specifications.
• Proven ownership in Agile, ITIL and data governance frameworks (SCRUM, Kanban, DAMA).

Responsibilities

• Define, standardize and govern Data Dictionary platform assets (Collibra) across cross‑functional data domains.
• Configure and evolve Asset Model with metadata structures, attributes and relationships.
• Enable automation and onboarding of platforms through the Data Dictionary ecosystem.
• Secure data dictionary configurations and ensure compliance with engineering standards.
• Support KPIs and reporting via Power BI to monitor adoption and quality.
• Collaborate with data architects, engineers and analysts on dictionary governance best practices.
• Participate in development and deployment of Data Dictionary products.
• Maintain integrations via APIs and connectors for Collibra and other systems.

Skills

Data governance

Collibra

Azure DevOps

Power BI

APIs

Data cataloguing

Education

Bachelor's degree

Master's degree

Tools

Databricks

OneLake

Collibra Ranger

Collibra Workflow Developer

Snowflake

Job description

HEINEKEN is seeking a Data Dictionary Platform Specialist to own end‑to‑end governance, configuration and enablement of the enterprise Data Dictionary across business functions and technology landscapes.

The role bridges business requirements, data governance and technology, driving platform adoption, metadata standards and integrations with big data and analytics platforms, interacting with technology partners and vendors.