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Data architect and governance lead / head of data

Slough
Jr United Kingdom
Data architect
Posted: 24 August
Offer description

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Data Architect and Governance lead / Head of Data, Slough

Client:


Location:

Slough, United Kingdom


Job Category:

Other

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EU work permit required:

Yes


Job Views:

5


Posted:

22.08.2025


Expiry Date:

06.10.2025


Job Description:

Radius is seeking a highly talented Data Architect and Governance lead for our client undergoing a digital transformation.

* Define and lead enterprise-wide data strategy
* Design and maintain a scalable, secure data architecture
* Deep understanding of Data Governance
* Modern data platforms: Cloud Data Quality Management, metadata, lineage, and data modelling
* Experience with Data integration, master data management (MDM), and designing scalable data pipelines
* Data Privacy, regulatory compliance, and security best practices
* BI Tools: Power BI, Tableau, Looker
* Proficient in data modelling, SQL, and cloud platforms - Azure, AWS, GCP and their Data services

Key Responsibilities

* Define and implement data architecture strategies aligned with the Customer Journey programme
* Guide data-driven decision-making, ensuring effective data utilisation for business strategies and initiatives

Develop data plans to address data quality issues in line with To-Be Processes

* Drive adoption of data best practices by sharing tools, techniques, and methodologies. Collaborate with data owners and IT to generate insights and apply them to business challenges
* Work with the business to identify data owners to enhance data integrity and quality
* Work with stakeholders to understand data requirements and incorporate them into future data models
* Design, build, and maintain data models
* Create detailed design documentation, including data flow artifacts and data dictionaries
* Define and promote best practices for data design, capture, and storage
* Maintain high data quality standards and ensure compliance with regulations (e.g., GDPR)
* Collaborate with IT to ensure data systems align with data design
* Ensure data security, especially for sensitive customer information
* Develop metrics to assess data quality and impact
* Develop strategies using data analysis to monitor performance and provide recommendations for growth


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