Data Architect
London (Hybrid - minimum 2 days per week in office)

About the Role

We are seeking an experienced Data Architect to lead the design, development, and execution of our enterprise data strategy. This is a pivotal role responsible for shaping how data is managed, governed, and leveraged across the organisation to support strategic objectives and drive data-led decision-making.

You will work across multiple business areas and technology programmes, translating high-level data strategy into actionable architecture roadmaps and ensuring consistent adoption of best practices, standards, and governance frameworks.

Key Responsibilities

• Lead data architecture initiatives across enterprise-wide projects, ensuring alignment with business strategy.
• Translate data strategy into clear, deliverable roadmaps and scalable solutions.
• Partner with stakeholders across business and technology teams to align data architecture with analytics, governance, and operational needs.
• Drive the adoption of data-driven decision-making, including identifying opportunities for new data-led services and insights.
• Define and maintain enterprise data models (conceptual, logical, and physical).
• Design and oversee data platforms across cloud and on-premise environments, including data lakes, warehouses, and master data management solutions.
• Establish and enforce standards, principles, and best practices for data architecture, governance, and quality.
• Provide architectural oversight throughout project life cycles, from high-level design to detailed implementation guidance.
• Collaborate with security, compliance, and data governance stakeholders to ensure adherence to regulatory requirements (eg GDPR).
• Evaluate emerging technologies, including AI and machine learning, to enhance data capabilities.
• Support vendor selection and management for data-related solutions and services.
• Act as a bridge between business vision and technical execution.

Skills & Experience

• Proven experience in a Data Architect or similar senior data role.
• Strong understanding of enterprise data architecture and life cycle management.
• Expertise in data modelling (conceptual, logical, and physical) and data governance frameworks.
• Hands-on experience designing data platforms using cloud technologies, particularly Microsoft Azure

• Experience with tools and services such as:

  • Azure Synapse Analytics

  • Azure Data Lake (Gen1/Gen2)

  • Azure Data Factory

  • Azure Databricks

  • Azure Cosmos DB, Blob Storage, Table Storage

  • Microsoft Fabric

  • Azure Purview

• Experience with data warehousing, lakehouse architectures, and master data management solutions.
• Knowledge of data integration techniques, APIs, and ETL/ELT processes.
• Familiarity with data cataloguing, metadata management, and data quality tools.
• Understanding of data privacy regulations and compliance requirements.
• TOGAF certification (or equivalent) preferred.
• Experience working within professional services or regulated industries is advantageous.

Personal Attributes

• Strong leadership and stakeholder engagement skills.
• Confident decision-maker with a consultative approach.
• Excellent communication and presentation abilities.
• Highly organised with the ability to manage multiple priorities in a fast-paced environment.
• Curious and forward-thinking, with a passion for emerging technologies.
• Collaborative mindset with experience working in distributed teams.

Why Join Us

This is an opportunity to play a key role in shaping the future of enterprise data within a globally connected organisation. You'll be empowered to influence strategy, drive innovation, and make a tangible impact through data.

Additional Information

• Hybrid working model (London-based office).
• Occasional international travel may be required.
• Flexibility to support critical initiatives outside standard working hours when needed.

If you're passionate about data architecture and ready to lead at an enterprise level, we'd love to hear from you.