Data Architect

MRP Group; England; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading data solutions provider is seeking a Data Architect responsible for defining, creating, and managing the enterprise data model. This role involves leading data modelling, advising on data integration approaches, and ensuring best practices in data governance. The ideal candidate will have strong analytical skills and experience in ITIL principles. This position offers a hybrid working arrangement in Gloucestershire, England, for a contract period of 12 months with potential for extension.

Qualifications

• Experience in defining and managing enterprise data models.
• Strong analytical skills for data integration approaches.

Responsibilities

• Lead high-level and conceptual data modelling.
• Analyse data federation versus data integration approaches.
• Define and document data integration requirements.
• Establish and maintain data access methodologies.
• Ensure alignment with Configuration Management practices.
• Apply ITIL principles for data asset governance.
• Support ongoing data quality and compliance.

Skills

Data modelling

Data integration

Data governance

Data quality assurance

ITIL principles

Job description

Data Architect (eDV cleared)

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.