Strategic Data Architect - Public Sector Transformation

Abakus IT-Solutions

Brussel Hoofdstad

Hybride

EUR 90 000 - 120 000

Plein temps

Il y a 14 heures

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Résumé du poste

ABAKUS IT SOLUTIONS in Brussels is seeking an Expert Data Architect to join a large-scale public-sector digital transformation programme. You will analyse and model the data landscape, define architecture principles, assess target options and contribute to a pragmatic, prioritised roadmap.

You will collaborate with Business Analysts, Enterprise Architects, Solution Architects and Data Engineers to move from AS-IS to a coherent, sustainable data architecture that meets governance, GDPR and

Qualifications

Proven experience as a Senior/Expert Data Architect in complex IT environments.
Strong expertise in data modelling, both conceptual and logical.
Solid experience with data landscape mapping (sources, flows, apps, repositories).
Strong knowledge of Master Data Management (MDM), data quality, metadata and data catalogues.
Experience with modern data architecture paradigms: Data Hub, Data Lake/Lakehouse, Data Mesh, Data Fabric, Data Virtualisation.
Good understanding of data integration and exposure patterns (APIs, event-driven architecture, replication).
Knowledge of data governance, GDPR, data ownership and lifecycle management.
Experience with TOGAF, ArchiMate, DAMA-DMBOK or equivalent frameworks.
Experience with data modelling tools such as Sparx EA.
Ability to translate business requirements into data models and architecture principles.

Responsabilités

Analyse and document the existing data landscape, including sources, flows, applications and repositories.
Identify data silos, redundancies, quality issues, ownership gaps and architectural pain points.
Design conceptual and logical data models and produce the data dictionary.
Identify master data, SoR and data ownership rules.
Define data architecture principles and standards aligned with enterprise architecture.
Assess and compare data architecture paradigms (Data Hub, Lakehouse, Data Mesh, Data Fabric, Data Virtualisation).
Define patterns for API, event-driven architecture, replication, virtualization and analytical data flows.
Translate GDPR, data sovereignty and sustainability requirements into architecture principles.
Contribute to target data architecture and document architectural decisions.
Define minimum data governance foundations (roles, metadata, cataloguing, access rights, lifecycle).
Develop a prioritised roadmap with transition architectures and work packages.
Facilitate workshops with stakeholders and present options to decision-makers.
Ensure knowledge transfer and produce clear documentation for internal teams.