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Salary
$198k per year
Location
In office (London)
Seniority
Architect
Employment
Contractor
Overview
Company
Impact
Profile match
Experis is a leading IT recruitment and solutions provider, specializing in delivering in-demand IT talent and services. They offer a range of services including project services, managed services, and IT consulting, with expertise in areas like cloud infrastructure, cyber security, and digital workspace.

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

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