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Data Domain Architect

Location: Antwerpen

Responsibilities:

• Refine the Turing Transformation Roadmap and ensure consistent execution across teams.
• Develop and refine the Data Reference Architecture in alignment with program objectives.
• Drive the re-platforming of the data landscape from on-premise technologies to Microsoft Fabric.
• Oversee the consolidation of legacy data warehouses into a modern data platform.
• Support the decentralization of data ownership, enabling business domains to govern their own data and build reports.
• Collaborate with Enterprise Architecture and senior stakeholders to leverage data dependencies.
• Define target patterns for data consumption and integration with AI capabilities.
• Ensure integration with group-level architecture decisions.
• Support Data Solution Experts and System Experts in migration and consolidation efforts.
• Coach internal teams to enhance the maturity of Data and Solution Architecture practices.

Profile and Experience:

• Senior, hands-on Domain Architect with expertise in modern data platforms and Enterprise IT Architecture.
• Strong communicator and stakeholder manager with the ability to enforce architectural direction.
• Experience in coaching and raising the maturity of architecture teams.
• Familiarity with architecture frameworks and modeling notations such as ArchiMate, BPMN, and TOGAF.
• Native Dutch speaker with professional proficiency in English; knowledge of French and/or German is advantageous.

Required Experience:

• Minimum 5 years of experience with modern data technologies, including data lakes, Spark, and Microsoft Fabric.
• Strong knowledge of Microsoft data platforms, including design and governance.
• Experience in data governance environments and AI tooling within data practices.
• Proven ability to define and enforce target architecture in complex IT environments.
• BI/reporting experience, preferably with Power BI.
• Working knowledge of Enterprise Engineering and architecture frameworks.

Optional Experience:

• Experience with dbt and Python.
• Microsoft Cloud and Data certifications (e.g., AZ-900, DP-700, PL-300).
• Prior experience aligning local data landscapes with wider group architecture.

Languages:

• Dutch: Mother tongue
• English: Very good knowledge, both speaking and writing
• French: Basic knowledge
• German: Basic knowledge

Certificates:

• AZ-900 - Azure Fundamentals
• DP-700 – Fabric Data Engineer Associate
• PL-300 – Power BI Data Analyst Associate