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Data Engineering Data Warehousing

Enterprise Data Architect

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: McGregor Recruitment
Full Time position
Listed on 2026-07-26
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 125000 GBP Yearly GBP 125000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Enterprise Data Architect

Global Professional Services 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 -

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

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