Information Architects

Peregrine; United Kingdom; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Peregrine seeks an experienced Information Data Architect to design and evolve information architecture across complex enterprise environments. You will shape data models, governance and standards, aligning information solutions with wider enterprise architecture strategies.

Working with advanced data platforms and business systems, you will influence design decisions and drive improvements in how information is structured, governed and utilised to enable smarter decision-making and long-term

Qualifications

• Experience across data architecture disciplines and data modelling at enterprise scale.
• Familiarity with ArchiMate, SysML, UML, XML/XSLT for modelling and exchange.
• Ability to collaborate with stakeholders to shape data solutions and governance.

Responsibilities

• Develop and maintain conceptual, logical and physical data models across domains.
• Collaborate with enterprise architects, tech teams and stakeholders to meet requirements.
• Support data integration initiatives and information flows for quality and interoperability.
• Define and apply data architecture standards, frameworks and best practices.
• Provide guidance on data architecture approaches, governance and principles.
• Support information architecture activities enabling scalable, reusable data solutions.
• Contribute to enterprise architecture initiatives aligning data with tech strategy.
• Produce architecture docs and artefacts using standard repositories.
• Participate in design reviews, governance forums and assurance activities.
• Identify opportunities to improve data quality, accessibility and reuse.

Skills

Data modeling

ArchiMate

UML

System integration

Relational databases

Data architecture

Stakeholder communication

Analytical thinking

Architecture governance

Tools

BizzDesign

Sparx EA

Job description

Information Architect Permanent | Hybrid | Data Architecture | Enterprise Architecture

We are seeking an experienced Information Data Architect to design, develop and evolve information architecture across complex enterprise environments. This role will play a key part in shaping data models, improving architecture design and ensuring information solutions align with wider business and enterprise architecture strategies. Working closely with stakeholders, architects and technical teams, you will influence critical design decisions and drive improvements in how information is structured, governed and utilised across the organisation. You'll join a data-driven environment where information is recognised as a strategic asset. Working with advanced data platforms, business systems and enterprise architecture tools, you will support the development of robust data foundations that enable smarter decision-making and long-term organisational success. This is an excellent opportunity to contribute to enterprise-wide data and information architecture whilst helping shape future data strategy and standards.

Responsibilities

• Develop and maintain conceptual, logical and physical data models across multiple business domains.
• Collaborate with enterprise architects, technical teams and business stakeholders to ensure data solutions meet strategic, technical and operational requirements.
• Support data integration initiatives and information flows, ensuring consistency, quality and interoperability across systems.
• Define and apply data architecture standards, frameworks and best practices across the organisation.
• Provide expert guidance on data architecture approaches, principles and governance.
• Support information architecture activities that enable scalable, reusable and maintainable data solutions.
• Contribute to enterprise architecture initiatives, ensuring data architecture aligns with wider technology and business strategies.
• Produce architecture documentation, models and artefacts using recognised architecture repositories and tooling.
• Participate in design reviews, governance forums and architecture assurance activities.
• Identify opportunities to improve data quality, accessibility, consistency and reuse across the enterprise.

Skills & Experience

• Extensive experience across data architecture disciplines, including conceptual, logical and physical data modelling.
• Experience applying one or more recognised data architecture modelling approaches or notations such as ArchiMate, SysML, UML, XML or XSLT.
• Strong understanding of system integration, relational databases, interface design and data structures.
• Proven experience developing scalable data models and information architecture solutions using recognised architecture repositories such as BizzDesign, Sparx EA or similar.
• Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical stakeholders.
• Strong analytical and problem-solving skills, applying structured thinking to business and technical challenges.
• Experience using recognised external data architecture standards and frameworks, including ISO, BSI, ASD S-Series, OAGi or equivalent.
• Experience working within complex enterprise environments with multiple stakeholders and interconnected systems.

Desirable Skills

• Knowledge of enterprise architecture frameworks and methodologies.
• Experience supporting enterprise data governance and information management initiatives.
• Understanding of modern data platforms, analytics ecosystems and cloud-based data technologies.
• Experience working within highly regulated sectors such as defence, aerospace, government or critical national infrastructure.
• Familiarity with Agile delivery methodologies and cross-functional teams.

The successful candidate will deliver robust, scalable and well-governed information architecture that supports both business objectives and enterprise strategy. They will establish clear data standards, improve consistency and integration across systems, and ensure data assets are structured to support future growth and innovation. Success will be measured through the delivery of high-quality architecture outcomes, improved data accessibility and governance, and the effective adoption of enterprise-wide data architecture principles.