Data Architect
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Job description
I am working with a highly successful, private equity-backed organisation that is investing significantly in its data and technology capabilities. As part of a major transformation project, the business is building a modern Microsoft-centric data platform and establishing data as a strategic asset across the organisation. They are now looking for a Data Architect to take ownership of the enterprise data architecture, helping shape the future of reporting, analytics, AI and data-driven decision making.
This is a fantastic opportunity to join during a greenfield phase of the journey, giving you the opportunity to define standards, influence technology choices and work closely with senior stakeholders to deliver a scalable and future-ready data platform., * Design and develop enterprise-scale Data Warehouse and Lakehouse architecture
- Define and deliver the organisation’s data platform strategy
- Create scalable data models, storage frameworks and architectural standards
- Establish data governance, security and access management frameworks
- Design modern data integration and transformation pipelines across multiple data sources
- Implement CI/CD standards and deployment processes for data products and platforms
- Drive best practice across data architecture, performance, scalability and reliability
Requirements
- Strong experience designing and implementing enterprise Data Warehouse architectures
- Expertise with Microsoft Fabric, Azure Data Platform technologies and modern Lakehouse architecture
- Hands-on experience with Databricks, Unity Catalog and Delta Lake
- Strong SQL and PySpark skills
- Experience implementing Medallion Architecture principles
- Knowledge of data modelling methodologies including Star Schema and Data Vault
- Strong understanding of data governance, security and access management frameworks, * MS Azure
- MS Azure Databricks
Benefits & conditions
- Salary up to £80,000
- Hybrid working model
- Opportunity to lead a greenfield data transformation programme
- Ownership of enterprise-wide data architecture and strategy
- Significant investment in Microsoft Fabric and modern data technologies
- Funded certifications and ongoing professional development
- Long-term career growth within a forward-thinking business
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