Enterprise Data Architect

McGregor Boyall

City Of London

Hybrid

GBP 113,000 - 138,000

Full time

4 days ago
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Benefits offered by this job

Hybrid working

Job summary

Global Law Firm is seeking an Enterprise Data Architect to own the data architecture strategy, lead Azure lakehouse design, and embed governance across the business. The role includes line management of two Data Architects and collaboration with Data, AI, Engineering and Architecture teams in a hybrid London-based setting.

The ideal candidate has extensive enterprise data experience, strong Azure expertise, and a track record in data governance and AI data platforms.

Qualifications

  • Extensive enterprise data architecture experience in large organisations.
  • Previous leadership or line-management experience.
  • Strong Azure data platform expertise, incl. Azure Databricks.
  • Experience designing lakehouse and enterprise data architectures.
  • Strong data governance, metadata, MDM and modelling.
  • Experience supporting AI/ML initiatives and AI data platforms.
  • Excellent stakeholder management and communication skills.
  • Experience with enterprise architecture frameworks and cross-discipline collaboration.

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

Azure Databricks
Azure data platform
Data governance
Data modelling
Leadership
Stakeholder management

Job description

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.

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