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# Data Architect

- **Company:** Venesky Brown
- **Location:** Edinburgh, UK (Remote available)
- **Salary:** £55,000.0 - £78,000.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Business Analytics Applications, Cloud Computing, Data Architecture, Data Governance, Data Mart, Data Structures, Data Systems, Data Warehousing, Machine Learning, Meta-Data Management, Systems Integration
- **Published:** September 3, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5868805961

## About the Role

* Demonstrable experience working as a Data Architect within modern cloud data environments.
 * Strong expertise in designing and implementing conceptual, logical and physical data modelling.
 * Experience designing data models for enterprise-scale data warehouses, lakehouses and analytical platforms.
 * Strong understanding of data governance, metadata management, lineage and data quality disciplines.
 * Experience implementing data contracts, data cataloguing, and governance tooling.
 * Ability to communicate complex technical concepts to both technical and non-technical audiences.
 * Experience operating within agile, multidisciplinary delivery teams.

## Description

* Lead the design, maintenance and governance of enterprise, logical and physical data models across data products.
 * Define and implement data architecture standards, modelling conventions and best practices to ensure consistency across solutions.
 * Design scalable data structures that support reporting, analytics, AI and machine learning use cases.
 * Collaborate with Data Engineers to ensure data solutions are aligned to the target architecture.
 * Establish and maintain data governance practices, including metadata management, lineage, quality and stewardship using an established data catalogue.
 * Provide architectural oversight for new data contracts, data marts, integrations and platform enhancements.
 * Support the development of trusted, reusable and discoverable datasets to accelerate AI and advanced analytics initiatives.
 * Lead data modelling reviews, design workshops and technical decision-making with business and reporting stakeholders.
 * Produce and maintain architecture artefacts, standards and documentation, whilst mentoring delivery teams on data modelling and architectural best practice.

Technologies:

 * AI
 * Architect
 * Cloud
 * Support
 * Machine Learning


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