Enterprise Data Architect (Contract) – Hybrid Glasgow

Head Resourcing Ltd; Glasgow; Hybrid; GBP 66,000 - 111,000; Part time

Job summary

Head Resourcing Ltd. is seeking an experienced Data Architect (Contract) to lead the design and governance of scalable, secure data architectures across reporting, analytics, and AI initiatives within a Glasgow-based public sector environment.

You will collaborate with Data Engineers, Product Owners and stakeholders to deliver trusted data solutions and drive data governance, metadata management and data quality improvements.

Qualifications

• Proven experience as a Data Architect in modern cloud data environments.
• Extensive expertise in conceptual, logical, and physical data modelling.
• Experience designing enterprise-scale data warehouses, lakehouse platforms, and analytical solutions.
• Strong knowledge of data governance, metadata management, lineage, and data quality.

Responsibilities

• Design and govern enterprise, logical, and physical data models.
• Define data architecture standards, modelling conventions, and best practices.
• Support the development of scalable data platforms for analytics, reporting, and AI.
• Drive data governance, metadata management, lineage, and data quality initiatives.
• Collaborate with Data Engineers, Product Owners, and business stakeholders to deliver trusted data solutions.
• Lead architecture reviews, design workshops, and technical decision-making.

Skills

Data Modelling

Data Governance

Metadata Management

Data Quality

Data Cataloguing

Stakeholder Engagement

Communication Skills

Cloud Data Platforms

Tools

Governance Tools

Data Cataloguing Tools

Job description

Head Resourcing Ltd. is seeking an experienced Data Architect (Contract) to lead the design and governance of scalable, secure data architectures across reporting, analytics, and AI initiatives within a Glasgow-based public sector environment.

You will collaborate with Data Engineers, Product Owners and stakeholders to deliver trusted data solutions and drive data governance, metadata management and data quality improvements.