MRP Group

Data Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect in Gloucestershire, England, on a 12-month contract with a hybrid work model. Key skills include data architecture, business analysis, and compliance. Experience with ITIL principles and data integration is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
January 7, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Gloucestershire, England, United Kingdom
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🧠 - Skills detailed
#Data Access #Data Quality #Scala #Documentation #Business Analysis #Compliance #Conceptual Data Model #Datasets #Data Architecture #Data Integration
Role description
Location: Gloucestershire, England (Hybrid) Contract: 12 months + extension You will be responsible for defining, creating, and managing the enterprise data model that underpins the service. The Data Architect/Analyst initiates, analyses, documents, and maintains data structures and standards to ensure data consistency, accessibility, and alignment with business requirements. Key Responsibilities: • Lead high-level and conceptual data modelling, collaborating with business analysts to understand business processes, data requirements, and where datasets reside. • Analyse and advise on data federation versus data integration approaches, ensuring optimal solutions for performance, governance, and scalability. • Define and document data integration requirements, including data flows, interfaces, subscriptions, and dependencies to support business and service use cases. • Establish and maintain data access methodologies, including data discovery, analysis, and consumption patterns. • Ensure alignment with Configuration Management practices, maintaining data-related configuration items (CIs) and their relationships. • Apply ITIL principles, with a strong focus on Service Asset and Configuration Management (SACM), to ensure accurate tracking, control, and governance of data assets across their lifecycle. • Support ongoing data quality, consistency, and compliance through clear documentation and governance standards.