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# Senior Data Architect

- **Company:** Harnham
- **Location:** Leeds, UK (Remote available)
- **Experience:** Expert
- **Salary:** £80,000.0 - £90,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Business Systems, Data Architecture, Data Infrastructure, Data Transformation, Dimensional Modeling, Information Lifecycle Management, Data Streaming, Data Layers, Data Lakehouse
- **Published:** September 1, 2026
- **Apply:** https://www.reed.co.uk/jobs/senior-data-architect/57296156

## About the Role

* Strong hands-on experience as a Data Architect within enterprise-scale environments
 * Expertise in dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies
 * Experience designing and implementing Medallion Architecture frameworks
 * Strong knowledge of Azure-based Data Lakehouse environments
 * Experience creating curated and semantic data layers for analytical consumption
 * Proven ability to develop architecture standards, governance frameworks, and modelling best practice
 * Experience working across the full data lifecycle, from source systems through to business-facing analytics
 * Excellent stakeholder management and communication skills, with the ability to influence senior decision-makers

## Description

You will act as the technical authority for data architecture and modelling across a modern Azure environment., * Designing and governing enterprise-wide data models across a Medallion Architecture framework

 * Creating curated data models using dimensional modelling and Kimball methodologies
 * Defining modelling standards, governance frameworks, and data feed specifications
 * Supporting the design of semantic layers that enable reporting, analytics, and future AI use cases
 * Collaborating closely with Data Engineers and Analytics Engineers in an agile delivery environment
 * Producing architecture documentation, diagrams, and technical designs
 * Influencing wider business systems to ensure strong data architecture principles are embedded throughout the organisation
 * Driving best practice across data quality, consistency, scalability, and governance, * Background in financial services, professional services, legal services, or similarly complex data environments
 * Experience supporting organisations on their journey towards customer-centric or client-centric data models

What They Offer

 * Highly flexible remote working model with occasional travel
 * Significant autonomy and ownership within a major data transformation programme
 * Direct exposure to senior technology and business stakeholders
 * Opportunity to become the organisation's lead authority on data modelling and architecture
 * Clear opportunities to shape strategy and influence the future direction of the data platform


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