Data Platform Architect, Wealth Management

Job Description

\n

Data Platform Architect, Wealth Management

\n

London | Contract, initial 3 months (potential to extend) | Competitive day rate

\n

Lead the hands-on design and evolution of a shared enterprise data model across wealth and asset management divisions. This is the first phase of a multi-division build, integrating data from UK, European and Swiss operations into a single, governed model. You will work directly with senior technical and business stakeholders to bring structure to a genuinely greenfield problem.

\n

Key Responsibilities:

\n

\n
• Lead the initial build-out of a unified data model spanning wealth and asset management across multiple divisions.

\n

• Liaise with data governance functions and divisional data teams to keep the model consistent as it develops.

\n

• Apply strong development governance: define how new elements are added to the model without breaking what's already built, while work continues incrementally alongside other live projects.

\n

• Work with an established reference ontology to align data domains and objects to industry standards.

\n

• Contribute hands-on to data engineering and pipeline work where needed.

\n

• Operate independently with minimal ramp-up time, picking up context quickly in a fast-moving environment.

\n\n

Required Experience:

\n

\n
• Significant recent experience in wealth or asset management, ideally spanning multiple divisions or entities.

\n

• Proven background designing, building or evolving enterprise-level data models.

\n

• Comfortable working within strong governance and change control on an actively evolving model.

\n

• Strong familiarity with modern cloud data architectures and tooling (Azure Data Factory, Databricks, lakehouse or data warehouse patterns).

\n

• Available to start at short notice.

\n

• Experience with spec-driven development or AI-assisted coding tools would be an advantage, but is not essential.

\n\n

Why This Role?

\n

\n
• Direct ownership of the first phase of a genuinely greenfield enterprise data model.

\n

• High-visibility work reporting into senior data leadership, with exposure across multiple regions.

\n

• A fast-paced, hands-on assignment for someone who wants to make an immediate impact rather than inherit an established backlog.

\n