Data Architect -Audit Central | Clara Technology & Solutions

About Audit

Audit plays a vital role in building trust and confidence by delivering high-quality assurance and insight. Audit professionals work with a broad range of stakeholders, combining business knowledge, technology and data to support informed decision-making and help organisations meet regulatory and governance expectations. Audit Clara Technology & Solutions supports this work through innovation, digital transformation and effective use of data, enabling teams to work more efficiently and deliver greater value. This environment offers opportunities to influence large-scale change, collaborate across disciplines and help shape the future of audit through technology and data.

Summary of role purpose

Support the development and delivery of data architecture across Audit by designing trusted, well-governed data solutions that align with business strategy, technology transformation programmes and regulatory requirements.

Roles and responsibilities

Embed data architecture principles, standards and best practices across Audit.

Lead data architecture workstreams within technology transformation programmes.

Design and maintain conceptual, logical and physical data models, mappings and data lineage documentation.

Support metadata management, data cataloguing and architecture repository governance.

Apply data governance, traceability, master data and reference data management practices.

Contribute to data schema design and ETL/ELT solutions that support secure and effective data use.

Ensure data solutions meet governance, regulatory and data quality requirements.

Collaborate with business and technology stakeholders and communicate data concepts clearly to technical and non-technical audiences.

Experience and skills needed

Experience designing and implementing complex data architecture solutions.

Strong understanding of data modelling, traceability, data lineage and systems of record.

Experience creating conceptual, logical and physical data models.

Experience developing data mapping and lineage documentation.

Knowledge of metadata management, data governance and data catalogue practices.

Strong stakeholder engagement, communication and business analysis skills.

Desirable experience

Knowledge of ER/Studio Data Architect or similar data modelling tools.

Experience with data catalogue and metadata management platforms.

Familiarity with Microsoft data technologies.

Experience with Informatica and master or reference data management tooling.

Understanding of recognised data management frameworks such as DAMA.