We're currently seeking a Data Warehouse Architect who will be responsible for establishing, optimising, and governing a unified enterprise data platform that enables data-driven decision-making. Acting as a bridge between complex raw data and meaningful business insight, the role involves designing scalable, high-performance Lakehouse and data warehouse architectures. By centralising data assets, implementing robust security frameworks, and removing data silos, the architect ensures the organisation has a single, reliable source of truth to support advanced analytics and AI initiative

• Expertise in Microsoft Fabric (OneLake) and Databricks (Unity Catalog) architecture
• Experience building scalable lakehouse and warehouse solutions (Databricks SQL, Fabric SQL)
• Strong data pipeline development using Databricks Workflows, DLT, and Fabric Data Factory
• Knowledge of Delta Lake and cross-platform data strategies to reduce duplication
• Data governance expertise, including Unity Catalog, RLS, and data lineage
• Experience managing compute across Fabric and Databricks environments
• CI/CD knowledge using Azure DevOps, GitHub, and Databricks Asset Bundles
• Proficiency in PySpark, Databricks SQL, T-SQL, and Delta Lake internals
• Strong understanding of Medallion Architecture and modern data modelling (Star Schema, Data Vault 2.0)
• Experience optimising Databricks performance and integrating with Power BI (Direct Lake)

• Design global architectural blueprints combining Microsoft Fabric OneLake and Databricks Unity Catalog.
• Build optimised Lakehouse and warehouse structures using Databricks SQL and Fabric SQL endpoints.
• Establish data pipelines using Databricks Workflows, Delta Live Tables (DLT), and Fabric Data Factory.
• Formulate cross-platform data strategies utilising shared Delta Lake formats to eliminate data duplication.
• Implement unified data governance, access controls, and Row-Level Security (RLS) via Unity Catalog.
• Direct multi-engine computation strategies using Fabric capacities alongside Databricks clusters.
• Define CI/CD deployment frameworks across both platforms using Azure DevOps, GitHub, and Databricks Asset Bundles.