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# Senior Data Architect

- **Company:** Harnham
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £87,000.0 - £90,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Business Systems, Cloud Database, Data Architecture, Data Governance, Data Systems, Dimensional Modeling, Data Streaming, Azure Data Factory, Data Management
- **Published:** August 29, 2026
- **Apply:** https://www.reed.co.uk/jobs/senior-data-architect/57287157

## About the Role

You will bring strong commercial experience in:

 * Data Architecture and Data Modelling within large-scale enterprise environments.
 * Dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies.
 * Designing and implementing Medallion Architecture frameworks.
 * Building curated semantic layers within modern cloud data platforms.
 * End-to-end data modelling from source systems through to analytics and reporting layers.
 * Defining and implementing data governance, standards, and best practices.
 * Azure Data Lakehouse and cloud-based data architecture environments.
 * Stakeholder engagement, with the ability to influence technical and non-technical audiences.

Desirable experience includes:

 * Banking, Financial Services, Legal Services, Professional Services, or similar complex regulated environments.
 * Supporting organisations in the transition toward customer-centric or client-centric data models.

## Description

You will lead the data modelling and architecture strategy across a modern Azure Data Lakehouse environment, ensuring scalable and governed data solutions that support both current reporting and future analytical use cases., * Designing and governing enterprise-wide data models across Medallion Architecture layers.

 * Creating curated semantic and analytical data models using dimensional modelling and Kimball methodologies.
 * Defining data modelling standards, governance frameworks, and data feed specifications.
 * Collaborating with Data Engineers, Analytics Engineers, and business stakeholders to deliver high-quality data solutions.
 * Influencing wider business systems to embed data architecture principles across the organisation.
 * Producing architecture documentation, diagrams, and data models while remaining hands-on in delivery.
 * Acting as the technical authority for data architecture and data modelling best practice.
 * Supporting the evolution from operational reporting to predictive and prescriptive analytics.


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