Role: Data Architect

Location: London (Hybrid)

Duration: 3 Months with extensions

Day rate: -585 Inside IR35

Essential Criteria (Technical Skills & Experience)

• Proven experience leading enterprise data discovery and architecture assessments, including mapping core systems, data flows and platform landscapes
• Ability to identify and analyse data risks and inconsistencies, including multiple versions of truth, sensitive data exposure and access control mismatches
• Strong experience defining enterprise data models and master data concepts and assessing their adoption across systems
• Demonstrated capability to evaluate data integration patterns (batch, APIs, streaming, manual processes) and design improvements for scalability and interoperability
• Ability to assess and define where data quality controls should be applied (source systems vs pipelines vs consumption layers)
• Experience evaluating platform capabilities (data storage, ETL, BI, ML) in terms of performance, scalability and real-time capability
• Strong understanding of how to assess and enable data readiness for AI use cases, including data availability, data quality and feature engineering considerations
• Experience analysing decision-making workflows, identifying where data should better inform operational and strategic decisions
• Ability to establish and promote canonical data definitions and shared datasets, reducing duplication and fragmentation
• Experience assessing auditability, logging and traceability within data systems and pipelines
• Proven ability to facilitate cross-functional design and discovery sessions (e.g. Product, Data, Platform teams) to align architecture with business needs
• Strong analytical and prioritisation skills, with the ability to identify and sequence foundational data architecture improvements
• Excellent communication skills, able to translate complex data landscapes into clear insights and actionable recommendations for stakeholders

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