Enterprise Data Architect - McGregor Boyall
Why This Role Stands Out
This leadership role offers a chance to shape the enterprise data architecture strategy for a global firm, driving innovation in a modern Azure-based data platform and AI capabilities. You will thrive here if you have strong Azure data platform expertise and a passion for leading and mentoring a team within a dynamic, hybrid work environment. Don't miss this opportunity to make a significant impact and grow your career with a competitive salary of up to £125,000.
Quick Overview
Job Description
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 - ncarolan@mcgregor-boyall.com
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Skills
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