Lead Enterprise Data Architect - Azure Lakehouse & AI

McGregor Boyall

Greater London

Hybrid

GBP 113,000 - 138,000

Full time

14 days+

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Job summary

Global Law Firm in London is seeking an Enterprise Data Architect to lead the data architecture strategy and deliver a scalable Azure-based data platform. You will guide data governance, modelling and AI-ready capabilities across the business, with line management of two Data Architects.

The role requires extensive experience in large organisations, strong leadership, and a proven track record in lakehouse design and enterprise data platforms.

Qualifications

  • Significant experience as an Enterprise Data Architect in large, complex organisations.
  • Demonstrated leadership with line management responsibility.
  • Experience designing modern lakehouse and enterprise data architectures.
  • Strong knowledge of data governance, metadata, MDM and data modelling.

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.

Skills

Enterprise data architecture
Leadership
Lakehouse design
Data governance
AI/ML data platforms
Stakeholder management
EA frameworks

Tools

Azure

Job description

Global Law Firm in London is seeking an Enterprise Data Architect to lead the data architecture strategy and deliver a scalable Azure-based data platform. You will guide data governance, modelling and AI-ready capabilities across the business, with line management of two Data Architects.

The role requires extensive experience in large organisations, strong leadership, and a proven track record in lakehouse design and enterprise data platforms.

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