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# AI&Data Architect

- **Company:** We ARE Recruitment Group
- **Location:** Den Haag, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Microsoft Azure, Data Architecture, Data Governance, Data Integration, Data Warehousing, DevOps, Electronic Data Interchange (EDI), Logical Data Models, Machine Learning, Microsoft Data Access Components, Metadata, Meta-Data Management, Reference Data, Power BI, Azure Data Lake, Data Streaming, Data Storage Technologies, IT Architecture, Archimate, Generative AI, Togaf, Microsoft Fabric, Data Lakes, Data Lineage, Data Analytics, Data Management
- **Published:** October 24, 2026
- **Apply:** https://www.adzuna.nl/details/5939534292

## About the Role

* At least 5 years of relevant experience in data architecture in complex environments; demonstrable experience as a Data Architect, Information Architect, or similar role.
 * Demonstrable experience in drafting target architectures, architecture principles, roadmaps, and decision documents.
 * Strong knowledge of conceptual and logical data modeling, data integration, and data exchange.
 * Experience with modern data platform architectures, data lake/lakehouse, data warehouse, analytics/BI, and cloud environments.
 * Demonstrable knowledge of data governance, metadata management, data lineage, data quality, and master/reference data.
 * Experience with architecture for AI/ML and preferably generative AI, including governance, lifecycle, monitoring, and the relationship between AI and reliable data.
 * Experience with architecture methodologies and modeling, preferably TOGAF and ArchiMate.
 * Experience with Azure and the Microsoft data/analytics ecosystem is a strong plus.
 * Experience in mobility, public transport, asset-intensive organizations, or public service is a plus.
 * Capable of clearly translating complex architectural issues to the board/management as well as engineers and data specialists.
 * Independent, results-oriented, pragmatic, and strong in stakeholder management and knowledge transfer.

## Description

The assignment is results-oriented. The Data & AI Architect works closely with the Enterprise Architect, the other segment architects (Application and Infrastructure), the domain architects, security/privacy, DevOps teams, and relevant business stakeholders. The architect not only delivers documents but also ensures applicable frameworks, transfer, and safeguarding within projects and change initiatives.
Taken en verantwoordelijkheden

 * Responsible for developing and realizing the HTM target architecture for data, including the strategic transition from Azure Data Lake to Microsoft Fabric, establishing a clear roadmap, architectural principles, governance, and implementation frameworks to create a scalable, manageable, and data-driven foundation for HTM.
 * Responsible for developing and securing the HTM-wide AI architecture, including governance, security, compliance, and standards for safe, reliable, and future-proof AI applications. Translating business goals and information needs into data and AI capabilities, architectural choices, and concrete design principles.
 * Designing and reviewing conceptual and logical data models and contributing to a consistent common information language.
 * Defining architecture principles, standards, and patterns for data storage, data integration, data exchange, analytics, BI, machine learning, and generative AI.
 * Provide direction for the design and further development of data platforms and the positioning of data lake/lakehouse, data warehouse, streaming, and API/event-driven data exchange where relevant.
 * Developing architecture for data governance: ownership, classification, metadata, cataloging, lineage, data quality, access control, and lifecycle.
 * Developing architectural frameworks for AI, including the use of trusted data sources, model and AI asset governance, traceability/lineage, access control, monitoring, and alignment with security, privacy, and compliance frameworks.
 * Assessing projects, PSAs, and solution designs for alignment with the data and AI target architecture, and making deviations, risks, and dependencies explicit.
 * Advising on the rationalization, reuse, and standardization of data and analytics services, and the prevention of new data silos and unnecessary platform complexity.
 * Supporting relevant initiatives, including BI/Power BI, data products, data exchange, and AI use cases, without assuming the role of engineer or implementation lead.
 * Actively transferring knowledge and working methods to internal architects, data specialists, and teams.