Data Architect
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Role details
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Job description
Contract: 24 Months
Location: Open to someone in London, Leeds or Edinburgh
Overview:
We are seeking an experienced Data Architect to join a leading consultancy on a 24-month contract. You will drive the design, governance, and delivery of enterprise-wide data architecture, ensuring data assets are resilient, scalable, and aligned with business and regulatory requirements.
You will work with cross-functional teams to define future-state data capabilities, integrate systems, and support data governance initiatives that enable strategic organisational outcomes.
Key Responsibilities:
- Develop and maintain enterprise-level conceptual, logical, and physical data models
- Define and evolve enterprise data architecture standards, principles, patterns, and best practices
- Collaborate with product teams and solution architects to design integrated, end-to-end data flows
- Maintain enterprise data dictionaries, taxonomies, and metadata repositories
- Perform oversight and quality assurance on data architecture artefacts and reverse-engineered data structures
- Provide data architecture input into enterprise and solution architecture to ensure consistent outcomes across programmes
Skills and Experience:
- Practical experience in data modelling within large or complex environments
- Experience using data modelling tools such as Erwin, Solidatus, Safyr, ABACUS, Archi, or similar
- Good understanding of relational and dimensional modelling techniques
- Exposure to cloud-based data platforms (e.g., AWS, Azure, GCP) or modern data architectures
- Working knowledge of SQL and familiarity with database technologies
- Understanding of data governance, metadata management, and data quality concepts
- Experience working within Agile delivery environments
Package:
- 24-month contract
- Hybrid working arrangement
Requirements
- Practical experience in data modelling within large or complex environments
- Experience using data modelling tools such as Erwin, Solidatus, Safyr, ABACUS, Archi, or similar
- Good understanding of relational and dimensional modelling techniques
- Exposure to cloud-based data platforms (e.g., AWS, Azure, GCP) or modern data architectures
- Working knowledge of SQL and familiarity with database technologies
- Understanding of data governance, metadata management, and data quality concepts
- Experience working within Agile delivery environments
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