Technology Specialist Data Dictionary

Digital & Technology Team (D&T) is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our processes, ensuring best-in-class technology, and embedding a data-driven culture. By joining us you will work in one of the most dynamic and innovative teams and have a direct impact on building the future of Heineken!


Would you like to meet the Team, see our office and much more? Visit our website: Heineken (heineken-dt.pl)
Responsible for the end‑to‑end design, governance and technical enablement of the enterprise Data Dictionary platform. The role ensures a single, trusted and standardized data dictionary across business functions and technology, enabling analytics, business use cases, regulatory compliance, and scalable data dictionary product. Acting as a senior individual contributor, this role bridges business, data governance and technology, driving adoption of Data Dictionary platform and metadata standards through tools such as Collibra, and integrating/exposing Data Dictionary metadata across big data and analytics platforms (e.g. Databricks, OneLake, etc) while interfacing and interacting with technology partners and vendors


Your responsibilities would include:
• leading the definition, standardization and governance of Data Dictionary elements for complex and cross‑functional data domains
• owning and evolving the Collibra Asset Model, ensuring that structures, attributes and relationships remain accurate, scalable and aligned with enterprise governance standards
• owning the configuration and continuous evolution of the Data Dictionary and management platform across the business functions
• administering and configuration the Collibra platform, including security assessments (e.g. OneTrust), incident and SLA management, platform monitoring, and integration support with other enterprise platforms 
• leading the onboarding and offboarding of Operating Companies (OpCos) on the Data Dictionary platform by coordinating configuration, users, roles, workflows and enablement activities 
• defining, implementing and maintaining roles, privileges and access models while managing user lifecycle and access in line with enterprise standards 
• designing, implementing, testing and optimizing Collibra workflows to automate data governance and approval processes across domains
• designing and delivering reporting and KPIs related to Data Dictionary adoption, quality and coverage by leveraging reporting solutions such as Power BI
• gathering, analyzing and translating business and governance requirements into functional and technical solutions for Data Dictionary, workflows and platform enhancements
• acting as a senior advisor and point of reference for data architects, Engineers and Analysts on data dictionary governance and Collibra best practices, while mentoring technology specialists.


You are a good candidate if you have:
• Bachelor/master's degree
• strong Collibra platform tool skills (e.g. Collibra Ranger certification, Collibra solution architect certification) is preferred
• excellent communication skills and ability to translate business requirements into technical specifications
• proven experience in Data Dictionary and Governance tooling (Eg. Collibra, Pureview, Atlan, Snowflake, Alation)
• 4–6 years experience in large-scale data cataloguing and governance related roles for Senior Data Dictionary Technology § Demonstrated ability to lead small teams and mentor junior colleagues
• hands-on experience with data cataloguing and data management governance.
• proven ownership experience working according to Agile and data governance frameworks (e.g. SCRUM, Kanban, DAMA)
• ability to design and validate Workflow logic in Collibra
• proven skills performing key configurations and integrations in Collibra
• excellent communication skills and ability to translate business requirements into technical specifications
• Big Data analysis and integration tools (JQL, PowerQuery, SQL, Python, Data Bricks) preferred
• ability to manage, liaise and influence with various groups of stakeholders
• End-to-End mindset for understanding impact of architecture and design across data ecosystem, process and analytics
• Strong focus on value creation and delivery
• strong design-thinking and problem-solving skills to eradicate or reduce tech. debts, integration inconsistencies and governance gaps

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