About this role
Salary: £61,000 - 101,000 per year
Requirements: Strong enterprise data architecture backgroundExperience designing and implementing enterprise data frameworks, standards, and architecture patternsExpert data modelling skills, including conceptual, logical, physical, and dimensional modellingExtensive Azure Databricks experience in large-scale enterprise environmentsExperience with Databricks Lakehouse Architecture and Medallion Design PatternsDatabricks data engineering experience using PySpark and Spark SQLExperience with Delta Live Tables (DLT)Experience implementing Unity Catalog governanceExperience with Databricks WorkflowsExperience with Databricks Asset Bundles (DABs)Experience with Databricks Solution AcceleratorsExperience building metadata-driven ingestion and orchestration frameworksExperience with MLflow, Feature Store, and MLOps frameworksExperience with Azure Data Platform tools, including ADLS, Azure Data Factory, Synapse, and DatabricksExperience with Azure DevOps, CI/CD, and Infrastructure as CodeExperience with enterprise data governance, data quality, and data lineage frameworksExperience integrating Dynamics 365 Finance & Operations (D365 F&O) into enterprise data platformsExperience delivering Finance Data Lake, Data Warehouse, or Lakehouse programmesStrong stakeholder engagement and solution design capabilitiesHighly desirable: experience in specialist Databricks consultancies or Databricks partner organisationsHighly desirable: Mosaic AI and AI-enabled Data Platform deliveryHighly desirable: Agentic AI / GenAI implementation within DatabricksHighly desirable: Microsoft Fabric experienceHighly desirable: financial services, real estate, insurance, or retail sector experienceHighly desirable: experience leading data architecture workstreams within large transformation programmesHighly desirable: experience implementing self-service reporting and analytics platformsHighly desirable: experience supporting Power BI semantic models and enterprise reporting environments Responsibilities: Define and own enterprise data architecture principles, standards, and best practicesDesign scalable Databricks Lakehouse solutions using Medallion Architecture (Bronze, Silver, Gold)Create enterprise-wide data models supporting Finance, Analytics, and Reporting use casesDesign and implement reusable data engineering frameworks and solution acceleratorsDevelop metadata-driven ingestion, transformation, and orchestration frameworksDefine governance, lineage, security, and cataloguing standards across the platformProvide architecture leadership across Databricks, Azure, and Power BI ecosystemsWork closely with Finance, Data Engineering, Product, and Business stakeholdersSupport AI and Agentic AI enablement by establishing trusted and governed data foundationsMentor engineering teams and promote engineering best practices Technologies: Agentic AIAIArchitectAzureCI/CDData WarehouseDatabricksDevOpsFabricSupportMLflowMLOpsPower BIPySparkSQLSecuritySparkUnityOffice 365CloudGameDevLESS More:
We are supporting a leading global risk consulting firm on a major Finance Data Lake, Self-Service Reporting, and AI Enablement programme. This is an Enterprise Data Architect contract role based in London with hybrid working, 1-2 days per week in the office, and an initial duration of 6 months plus. The role is hands-on and focuses on Databricks, Azure Data Platform, and Dynamics 365 F&O integration, with an emphasis on enterprise standards, scalable data frameworks, and a strong foundation for future AI-driven reporting and analytics.
last updated 36 week of 2026