Data Architect

Data Architect - Entity Resolution & AI/ML Matching

• Initial Contract Length: 6 months (contract-to-perm considered)
• Work Location: Hybrid - Flexible
• IR35 Status: Inside IR35
• Industry: Public Services
• Interview Process: One Stage
• Security Clearance: Active SC Clearance required, with willingness to undertake NPPV3
• Start: ASAP, following clearance transfer
• AI/ML Matching, Entity Resolution and AWS Data Tooling Expertise mandatory

We are working alongside a leading consultancy provider to deliver a critical programme for a major public sector client, seeking a Data Architect with strong expertise in Entity Resolution and AI/ML-driven matching, to design and implement scalable, secure, high-quality data architectures enabling accurate matching, deduplication and linkage of complex datasets to support decision-making and analytics.

Key Responsibilities:

• Lead the design and implementation of AI/ML-powered entity resolution (matching) solutions across multiple complex data sources
• Develop and optimise record linkage, deduplication, clustering and matching algorithms, incorporating machine learning models to improve match accuracy beyond rules-based approaches
• Define and manage golden record/master data models and entity hierarchies
• Establish rules and ML-supported logic for standardisation, matching, survivorship and merging of records
• Monitor and continuously improve entity resolution performance, including accuracy, precision/recall and scalability of matching models
• Champion and embed AI/ML-based matching approaches as the core methodology, moving beyond traditional deterministic matching where appropriate
• Leverage AWS data tooling to build, deploy and scale matching pipelines and ML-supported data architectures

What We're Looking For:

• Active SC Clearance, with willingness to undertake NPPV3
• Proven, hands-on expertise in AI/ML-based entity resolution and matching this is a mandatory requirement, not a nice-to-have
• Strong background in Master Data Management (MDM) and entity resolution, including record linkage, deduplication and clustering techniques
• Experience defining golden record/master data models and survivorship rules
• Strong AWS data tooling expertise and experience
• Track record improving matching algorithm performance (precision, recall, scalability) using AI/ML techniques

Security Clearance: Active SC Clearance is required for this role, with a willingness to undertake NPPV3. Candidates must hold current SC. Non-SC candidates will not be considered.