Data Architect

Eurobase People; Leeds; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Eurobase People is seeking an experienced Data Architect to support a large-scale IAM and SSO transformation programme in the UK. The role focuses on designing and developing enterprise data architecture, data models and integration patterns to support programme objectives.

You will collaborate with architects, analysts, developers and stakeholders across the lifecycle, ensuring data governance and security while driving standards and interoperability across systems.

Qualifications

• Experience designing and maintaining enterprise data models.
• Strong governance, security and metadata management knowledge.
• Ability to align data architecture with business goals.

Responsibilities

• Design and develop logical and physical data models aligned to programme requirements.
• Support management, archiving, decommissioning and governance of data assets.
• Contribute to data dictionaries and standards across the enterprise.
• Provide guidance on data architecture best practices and strategy.
• Design and implement integration patterns using APIs and microservices.
• Ensure data solutions comply with security and organisational policies.

Skills

Data architecture

Data modeling

Data governance

Data quality

Master Data Management

API design

Microservices

Data security

Metadata management

Enterprise data exchange

Education

Bachelor's degree in Computer Science or related field

Tools

ER Modeling Tools

MDM Platforms

Job description

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.