Enterprise Data Architect | Investment Management | London - #2153286

We're partnering with a global, high-performing investment organisation as they scale and modernise their enterprise data and analytics capabilities across a complex, regulated environment.

This is a senior, high-impact role focused on establishing a business-aligned data and architecture baseline: what data products matter most, how they should be governed and accessed, who owns them, and how decisions get made, all while supporting live delivery rather than running a "theoretical" architecture programme.

• Establish a clear, business-anchored view of data demand and translate it into a prioritised set of valuable, well-defined data products.
• Map priority data flows and dependencies across Snowflake, operational systems, BI/integration tooling, and end-user environments (SharePoint/Excel/locally managed datasets).
• Define decision-ready ownership, stewardship, and authority models for key domains, entities, and systems of record.
• Shape a pragmatic target data-access model from BI to data layer, aligned to Microsoft Entra (group/attribute-based access, auditability, least privilege).
• Create and steer a sequenced roadmap covering data products, governance, access, and platform evolution, advising senior stakeholders and quality-assuring delivery.

• Significant senior experience in data architecture / enterprise architecture within complex organisations (financially sensitive or regulated environments strongly preferred).
• A track record of turning business outcomes and decision-making needs into actionable architecture priorities and deliverable roadmaps.
• Strong experience defining data products, domains, key business entities, systems of record, and accountable ownership models.
• Hands-on capability mapping data landscapes and flows across cloud data platforms, operational apps, BI tools, integrations, and third-party feeds.
• Practical knowledge of Snowflake (or comparable cloud data platforms), including ingestion, transformation, consumption, security, and governance considerations.
• Solid grounding in data governance: quality, lineage, privacy, retention, auditability, and pragmatic master-data approaches.
• Experience designing enterprise access models using Microsoft Entra / RBAC / group-based or attribute-driven controls.
• Confidence working with senior stakeholders: interviewing, facilitating, producing concise options papers/decision records, and driving alignment.

If you're the kind of architect who wants to shape durable foundations, clarifying ownership, governance, access, and delivery priorities, rather than just producing diagrams, we'd love to hear from you. Please share your CV and a brief note on your most relevant enterprise data architecture engagement.

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