Data Architect

About the role:

About you:

1. Qualifications & Architecture Practice: Bachelor’s degree in Computer Science, Data Engineering, Computer Engineering, Software Engineering, Data Science, Information Systems or a related discipline, with experience applying Data Architecture across enterprise and domain environments using recognised architecture principles, methods and standards.  
2. Data Products & Data Mesh: Experience designing Data Products and Data as a Product approaches, with good knowledge of Data Mesh principles, including product boundaries, consumers, interfaces, discoverability, interoperability and federated approaches.  
3. Data Modelling & Semantics: Strong experience developing conceptual, logical, physical and semantic data models, including domain models, transactional and analytical structures and common business definitions.  
4. Data Governance: Practical experience applying Data Governance Architecture, including data domains, ownership and stewardship, metadata, catalogue, lineage, data quality, classification, privacy and security.  
5. Data Management & Lifecycle: Good knowledge and practical experience of architecture for master and reference data, data storage, access, retention and information lifecycle, and how these support trusted and reusable data across domains.  
6. Technology & Integration: Experience with modern data platforms and integration patterns, including APIs, event-driven integration, microservices, data pipelines and lakehouse/medallion architecture, with knowledge of technologies such as Microsoft Fabric, Purview, Azure and Python, and awareness of LLMs and AI-ready data patterns relevant to Data Architecture.  
7. Architecture Delivery: Experience working with Agile delivery teams, using SAFe or equivalent Agile frameworks, to translate Data Architecture into architecture enablers, features, backlog items and implementation guidance, including using MVPs and PoCs to validate approaches and demonstrate value.  
8. Data Stakeholder & Supplier Engagement: Strong collaboration, facilitation and communication skills, with the ability to work effectively with Data Owners, Data Stewards, Data Custodians, data users, Data Governance, Data Solutions, delivery teams and external suppliers, and translate data needs into practical architecture.

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