We’re working with a leading global bank that is continuing to grow its EMEA Data Architecture function, with two opportunities available for experienced Data Architects.
This is a business-facing architecture role, working across key areas of the bank to understand the current data landscape, define future-state architecture and help shape how data is managed across the organisation.
Data Architect
London | Hybrid - 2 days per week
£90,000-£110,000 + 20-25% bonus
The role
- Own current and target-state Data Architecture across business areas and domains.
- Define data domains, flows and conceptual/logical data models.
- Work closely with senior business and technology stakeholders.
- Support Data Governance, architecture standards and frameworks.
- Contribute to significant transformation programmes across EMEA.
- Collaborate with Data Architects globally to drive consistency and best practice.
What we’re looking for
- Strong Data Architecture experience.
- Banking experience is essential, ideally within a large/global bank.
- Strong Data Governance and Data Management knowledge.
- Experience with current/target-state architecture and data modelling.
- Excellent stakeholder management and communication skills.
- A genuinely business-facing approach, rather than purely technical architecture.
Experience within Corporate or Investment Banking, including areas such as Risk, Finance, Lending, Transactions or Compliance, would be particularly valuable.
A great opportunity to join a growing EMEA Data function and play a key role in shaping the data architecture of a major global bank.
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Data Architect employer: Capital Resourcing Group
At Capital Resourcing Group, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our Milton Keynes location offers a vibrant environment where employees can thrive, with opportunities for professional growth and development, alongside competitive benefits. Join us to make a meaningful impact in shaping business strategies while enjoying the flexibility of a hybrid working model.