Data Architect (SC Cleared)

• Lead the design and implementation of entity resolution and matching solutions across multiple data sources and large data volumes
• Develop record linkage, deduplication, clustering and matching algorithms to support accurate identification and consolidation of entity data
• Define and manage golden record and master data models, including entity hierarchies and data ownership rules
• Establish and maintain standards for data standardisation, matching, survivorship and record merging across the data estate
• Monitor and continuously improve entity resolution performance, including accuracy, precision, recall and scalability metrics
• Collaborate with data engineers, analysts and business stakeholders to ensure entity resolution outputs support downstream analytics and decision-making
• Produce clear architectural documentation and governance artefacts for both technical and non-technical audiences

We are supporting a public sector client in hiring a Data Architect with strong expertise in Entity Resolution and Master Data Management. The role will focus on designing and implementing scalable, secure and high-quality data architectures that enable accurate matching, deduplication and linkage of complex datasets to support decision-making and analytics across the organisation.

This is a senior, hands-on architecture role requiring someone who can operate at both the strategic and technical level, for defining data models, establishing governance rules and leading the implementation of entity resolution solutions across large, complex and multi-source data environments.

This role suits an experienced Data Architect with a strong master data management (MDM) and entity resolution background, comfortable working in a fast-paced public sector environment and contributing immediately to an established data programme., * Proven experience as a Data Architect with deep expertise in Entity Resolution and Master Data Management

• Experience with AWS
• Hands-on experience designing and implementing record linkage, deduplication and matching solutions across large, complex datasets
• Strong understanding of golden record design, master data modelling and entity hierarchy management
• Experience defining and applying data standardisation, survivorship and merging rules across multi-source environments
• Ability to assess and improve entity resolution performance across accuracy, precision, recall and scalability dimensions
• Strong data modelling background including logical, physical and conceptual model design
• Comfortable producing clear architectural documentation and engaging senior stakeholders across both business and technical audiences

Desirable Skills

• AI and machine learning experience applied to entity matching, probabilistic record linkage or similarity scoring
• Experience within public sector or regulated data environments
• Familiarity with cloud-based MDM or entity resolution tooling
• Experience working within Agile delivery environments alongside data engineering and analytics teams