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Data Domain Architect

Antwerpen, Antwerpen

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

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