About the Role
We're working with a market-leading organisation that's undergoing a major transformation, moving from manual, Excel-based reporting to a fully automated, intelligence-driven data ecosystem.
As Data Architect, you'll be responsible for designing and implementing the Azure-based data platform that becomes the single source of truth across the business. This is a hands-on, strategic role where you'll build scalable, governed data architecture and shape how data is used across Finance, Operations, and Commercial functions.
What You'll Be Doing
- Data Architecture & Platform Design
- Design and implement an enterprise data lake on Azure Data Lake Gen2, using Bronze/Silver/Gold architecture.
- Build and maintain scalable ETL/ELT pipelines in Azure Data Factory to integrate data from core systems (AS400, Tagetik, CRM, Esker, Slimstock).
- Develop the overall data model, data dictionaries, and lineage documentation.
- Deliver a stable “batch-first” integration strategy with AS400 during its .NET migration, with a roadmap toward API integration.
- Data Governance & Quality
- Implement the technical foundation for data governance - quality checks, metadata management, and master data validation.
- Embed business rules and validation logic directly within data pipelines.
- Define and manage data security and access controls (Azure and Power BI row-level security).
- Implementation & Optimisation
- Lead the hands-on build, testing, and deployment of the Azure data platform.
- Monitor platform performance and optimise pipelines for cost, scalability, and speed.
- Define and document technical standards and best practices.
- Oversee the migration from legacy tools (Domo, Vecta) to the new Power BI ecosystem.
What You'll Bring
- Technical Skills Strong hands-on experience with Azure Data Lake Gen2, Azure Data Factory, and Azure Active Directory.
- Advanced skills in data modelling (conceptual, logical, physical) and SQL for complex transformations.
- Proven ability to design and build high-performance ETL/ELT pipelines.
- Understanding of data governance, security, and access control frameworks.
- Knowledge of batch and real-time data integration and experience with ODBC connectors or REST APIs.
- Familiarity with Databricks and/or Microsoft Fabric is a bonus.
Experience
- 3+ years in a Data Architect or senior data engineering role.
- Proven record of designing and delivering cloud-based data platforms, ideally in Azure.
- Background working with complex ERP or transactional systems.
- Experience supporting or leading data transformation initiatives within a business setting