Data Architect

Location: Hybrid (1 day per month onsite in Leeds)

Duration: Approx. 12 months

Working Pattern: Full-time

Engagement Type: Inside IR35

Security Clearance: Active transferable SC clearance required

Nationality Requirement: British Citizen

An experienced Data Architect is required to support a large-scale Identity & Access Management (IAM) and Sign-On (SSO) transformation programme. The role will focus on designing and developing enterprise data architecture, data models and integration patterns to support key programme objectives.

Key Responsibilities

• Design and develop logical and physical data models aligned to programme and business requirements.
• Support the management, archiving, decommissioning and governance of enterprise data assets.
• Contribute to data dictionaries, metadata repositories and data standards.
• Provide guidance on data architecture best practices and enterprise data strategy.
• Design and implement integration patterns using APIs, microservices and interoperability frameworks.
• Conduct impact assessments relating to data changes, integrations and governance requirements.
• Ensure data solutions comply with organisational standards, policies and security requirements.
• Collaborate with architects, analysts, developers and business stakeholders across the programme lifecycle.
• Strong understanding of data architecture principles, frameworks and best practices.
• Extensive experience designing and maintaining enterprise data models.
• Experience reverse-engineering data models from existing systems.
• Strong knowledge of metadata management and data repositories.
• Ability to define and maintain data standards and assess compliance impacts.
• Experience providing governance and assurance for data solutions.
• Data Governance
• Data Security
• Data Quality
• Master Data Management (MDM)
• API Design and Management
• Experience implementing data integration patterns.
• Strong understanding of APIs and microservices architecture.
• Knowledge of interoperability principles and enterprise data exchange.

Consultancy & Stakeholder Engagement

• Proven ability to provide expertise across the full data management lifecycle.
• Experience advising technical and non-technical stakeholders on data-related solutions and decisions.
• Ability to identify opportunities for process improvement and innovation through effective use of data and emerging technologies.
• Experience designing solutions that align with enterprise-wide architecture standards and principles.
• Ability to identify and apply appropriate architectural patterns to business problems.

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