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 stakeholdersIf you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website
