Lead the design of enterprise-level logical and physical data models across complex business and operational environments Define data architecture integration and interoperability standards across multiple systems and data sources Establish reusable architectural patterns for data ingestion transformation and consumption Own architecture governance and ensure solutions align with enterprise security and compliance standards Embed strong practices across data quality MDM lineage metadata and data stewardship Develop metadata frameworks data dictionaries and semantic layers to create consistent and trusted data definitions Design data structures and access patterns optimised for LLMs Machine Learning and Agentic AI systems Guide Data Engineers and collaborate with AI Analytics and business teams to translate requirements into scalable architecture 10 12+ years of experience across Data Architecture, Data Modelling, Enterprise Data Design or Data Governance, including experience at Lead or Principal level.
- Proven experience defining and delivering enterprise data architectures across complex, multi-source environments.
- Strong expertise across conceptual, logical and physical data modelling, including dimensional and Data Vault approaches.
- Hands-on experience with cloud platforms such as Azure, AWS or GCP.
- Experience with modern data platforms and lakehouse technologies such as Databricks, Microsoft Fabric or Snowflake.
- Strong knowledge of data integration and interoperability, including APIs and event- driven/streaming architectures.
- Experience with metadata, lineage and governance technologies such as Unity Catalog, Collibra or Alation, alongside MDM platforms.
- Strong SQL and Spark knowledge with experience across relational and No
SQL data environments. - Experience designing data architectures capable of supporting AI, ML and Agentic AI workloads.
- Experience with in financial services, investment organisations or similarly complex enterprise environments would be advantageous.
- Bachelor s or Master s degree in Computer Science, Engineering or a related technical discipline.
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