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# Data Architect

- **Company:** Reed
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £80,000.0 - £94,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Big Data, Data Architecture, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Data Storage Technologies, Microsoft Fabric, Information Technology, Data Pipelines
- **Published:** August 12, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-architect/57226706

## About the Role

* Previous experience as a Data Architect or Senior Data Engineer.
 * Strong expertise in data modelling, data warehousing, and lakehouse architectures.
 * Experience designing and supporting enterprise-scale analytics platforms.
 * Good understanding of Microsoft Fabric and modern cloud data architecture patterns.
 * Ability to balance strategic thinking with practical delivery.
 * Strong stakeholder communication, documentation, and problem-solving skills.
 * Degree in Computer Science, Data Science, Mathematics, Statistics, or a related discipline, or equivalent commercial experience.

## Description

This role will be responsible for defining and governing the architecture of a large-scale data platform that supports analytics, reporting, and emerging AI use cases. You will work closely with engineering, platform, and insight teams to ensure data is structured, scalable, and fit for purpose across a broad business landscape., * Define and maintain the data architecture roadmap for the organisation's data platform.

 * Design and govern common data models, conformed dimensions, and shared datasets.
 * Provide architectural oversight for ETL/ELT pipelines, data storage, and partitioning strategies.
 * Identify opportunities to improve efficiency, reduce duplication, and optimise platform performance.
 * Ensure workloads are appropriately separated to support both critical reporting and innovation activities.
 * Provide architectural assurance and guidance to engineering and platform teams.
 * Monitor platform usage and recommend improvements to support future growth.
 * Support integration with external industry data initiatives and evolving data requirements.


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