Enterprise Databricks Data Architect

Salary: £61,000 - 101,000 per year

Requirements:

• Strong enterprise data architecture background
• Experience designing and implementing enterprise data frameworks, standards, and architecture patterns
• Expert data modelling skills, including conceptual, logical, physical, and dimensional modelling
• Extensive Azure Databricks experience in large-scale enterprise environments
• Experience with Databricks Lakehouse Architecture and Medallion Design Patterns
• Databricks data engineering experience using PySpark and Spark SQL
• Experience with Delta Live Tables (DLT)
• Experience implementing Unity Catalog governance
• Experience with Databricks Workflows
• Experience with Databricks Asset Bundles (DABs)
• Experience with Databricks Solution Accelerators
• Experience building metadata-driven ingestion and orchestration frameworks
• Experience with MLflow, Feature Store, and MLOps frameworks
• Experience with Azure Data Platform tools, including ADLS, Azure Data Factory, Synapse, and Databricks
• Experience with Azure DevOps, CI/CD, and Infrastructure as Code
• Experience with enterprise data governance, data quality, and data lineage frameworks
• Experience integrating Dynamics 365 Finance & Operations (D365 F&O) into enterprise data platforms
• Experience delivering Finance Data Lake, Data Warehouse, or Lakehouse programmes
• Strong stakeholder engagement and solution design capabilities
• Highly desirable: experience in specialist Databricks consultancies or Databricks partner organisations
• Highly desirable: Mosaic AI and AI-enabled Data Platform delivery
• Highly desirable: Agentic AI / GenAI implementation within Databricks
• Highly desirable: Microsoft Fabric experience
• Highly desirable: financial services, real estate, insurance, or retail sector experience
• Highly desirable: experience leading data architecture workstreams within large transformation programmes
• Highly desirable: experience implementing self-service reporting and analytics platforms
• Highly desirable: experience supporting Power BI semantic models and enterprise reporting environments

Responsibilities:

• Define and own enterprise data architecture principles, standards, and best practices
• Design scalable Databricks Lakehouse solutions using Medallion Architecture (Bronze, Silver, Gold)
• Create enterprise-wide data models supporting Finance, Analytics, and Reporting use cases
• Design and implement reusable data engineering frameworks and solution accelerators
• Develop metadata-driven ingestion, transformation, and orchestration frameworks
• Define governance, lineage, security, and cataloguing standards across the platform
• Provide architecture leadership across Databricks, Azure, and Power BI ecosystems
• Work closely with Finance, Data Engineering, Product, and Business stakeholders
• Support AI and Agentic AI enablement by establishing trusted and governed data foundations
• Mentor engineering teams and promote engineering best practices

Technologies:

• Agentic AI
• AI
• Architect
• Azure
• CI/CD
• Data Warehouse
• Databricks
• DevOps
• Fabric
• Support
• MLflow
• MLOps
• Power BI
• PySpark
• SQL
• Security
• Spark
• Unity
• Office 365
• Cloud
• GameDev
• LESS

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