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Data Architect

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Summary

Contract Data Architect for a UK public sector organisation in Glasgow (£600/day Inside IR35, 6 months, hybrid). Day to day: lead enterprise data modelling and governance, define architecture standards, and design scalable data structures for reporting, analytics and AI using cloud data platforms.

Venesky-Brown’s client, a public sector organisation in Glasgow, is currently looking to recruit a Data Architect for an initial 6 month contract with potential to extend on a rate of £600/day (Inside IR35). This role will be a hybrid of working at home and in the office.


Responsibilities:


- 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.


Essential Skills:


- Demonstrable experience working as a Data Architect within modern cloud data environments.

- Strong expertise in designing & implementing conceptual, logical and physical data modelling.

- Experience designing data models for enterprise-scale data warehouses, lakehouse’s 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.


If you would like to hear more about this opportunity please get in touch.

See also

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