Data Architect

I am looking for Data Architects for Cyber roles based in Scotland (Glasgow/Perth or Aberdeen) on a hybrid basis with 50/50 from home and chosen office. Ideally you will have proven experience in data architecture or data modelling, with a track record of delivering scalable, well-structured data solutions.

This is a full-time contract role inside IR35 with rates starting from £70ph+ depending upon experience.

***Only apply if you are a British Citizen and passport holder and not have worked outside the UK during the past 5 years.***

SC Clearance is required for this role.

ROLE RESPONSIBILITIES

Develop and evolve data domain architectures that support business activities, ensuring solutions are scalable and aligned to long term strategic goals.

Design the structure and layout of data systems and platforms, while also assessing the impact of business change on the existing data architecture and support the prioritisation of these changes.

Collaborate closely with stakeholders across the business, translating needs into clear data requirements and building strong, trusted relationships.

Ensure project data designs align with the overall data architecture, identifying and resolving issues early to support delivery.

Work closely with application and integration teams to deliver reliable, well documented integrations that meet agreed standards.

Improve how data is structured, managed, and shared, driving better quality, consistency, and interoperability across the organisation.

ESSENTIAL CRITERIA

Proven experience in data architecture or data modelling, with a track record of delivering scalable, well-structured data solutions.

Experience working in complex environments, with an understanding of data integration and data exchange at scale.

The ability to think strategically and link data decisions to business outcomes.

Confidence working with a range of stakeholders, with the ability to explain complex ideas clearly and influence decisions.

The ability to analyse and interpret strategic plans, improving data flows, data integration and data quality supporting business initiatives.