Enterprise Data Architect

Global Law Firm
Location: London
Working: Hybrid
Salary: Up to £125,000 + benefits

The Role

An exciting opportunity to join a global organisation undergoing a significant transformation across Data, AI and enterprise architecture.

You'll take ownership of the enterprise data architecture strategy, leading the design of a modern Azure-based data platform while shaping how data products, governance and AI capabilities are embedded across the business.

This is a leadership role with line management responsibility for two Data Architects, working closely with Architecture, Engineering, Data and AI teams to deliver a scalable, governed data ecosystem.

Key Responsibilities

• Define and own the enterprise data architecture strategy and roadmap
• Lead the design of modern Azure lakehouse and data platform architectures
• Shape and embed enterprise data governance, modelling and architecture standards
• Drive the adoption of a data product operating model across the organisation
• Partner with Data, AI, Engineering and Enterprise Architecture teams on strategic initiatives
• Provide architecture governance and technical leadership across data and AI programmes
• Lead and mentor a team of Data Architects
• Ensure enterprise data platforms are scalable, secure and AI-ready

Key Requirements

• Extensive experience as an Enterprise Data Architect within large, complex organisations
• Previous line management or leadership experience
• Strong Azure data platform expertise, including Azure Databricks
• Experience designing modern lakehouse and enterprise data architectures
• Strong understanding of data governance, metadata, MDM and enterprise data modelling
• Experience supporting AI/ML initiatives and modern AI data platforms
• Excellent stakeholder management and communication skills
• Experience working within enterprise architecture frameworks and collaborating across multiple architecture disciplines

This is an excellent opportunity to lead enterprise-wide data architecture within a business making significant investment in modern data platforms and AI.

No sponsorship available.

Get in touch for more details –