Robert Half
Enterprise Data Architect (Databricks)
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Enterprise Data Architect (Databricks / Azure Data Platform)
Location: London (Hybrid, 1-2 days per week)
Rate: £700-£750 per day
Duration: Initial 6 months+
Robert Half are supporting a Global Consulting firm on a major Finance Data Lake, Self-Service Reporting and AI Enablement programme and are seeking an experienced Enterprise Data Architect with deep Databricks expertise. This is a hands-on architecture role requiring a strong blend of Enterprise Data Architecture, Data Modelling, Databricks Engineering, Azure Data Platform expertise and Dynamics 365 F&O integration experience. The successful candidate will be responsible for defining enterprise standards, implementing scalable data frameworks and ensuring a robust foundation for future AI-driven reporting and analytics.
Key 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
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Essential Experience
- Strong Enterprise Data Architecture background
- Experience designing and implementing Enterprise Data Frameworks, Standards and Architecture Patterns
- Expert Data Modelling skills (Conceptual, Logical, Physical and Dimensional)
- Extensive Azure Databricks experience within large-scale enterprise environments
- Databricks Lakehouse Architecture and Medallion Design Patterns
- Databricks Data Engineering using PySpark and Spark SQL
- Delta Live Tables (DLT)
- Unity Catalog implementation and governance
- Databricks Workflows
- Databricks Asset Bundles (DABs)
- Databricks Solution Accelerators
- Metadata-Driven Ingestion and Orchestration Frameworks
- MLflow, Feature Store and MLOps Frameworks
- Azure Data Platform (ADLS, Azure Data Factory, Synapse, Databricks)
- Azure DevOps, CI/CD and Infrastructure as Code
- 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
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Highly Desirable
- Previous experience working within specialist Databricks consultancies or Databricks partner organisations
- Mosaic AI and AI-enabled Data Platform delivery
- Agentic AI / GenAI implementation within Databricks
- Microsoft Fabric
- Financial Services, Real Estate, Insurance or Retail sector experience
- Experience leading Data Architecture workstreams within large transformation programmes
- Experience implementing self-service reporting and analytics platforms
- Experience supporting Power BI semantic models and enterprise reporting environments
Technical Environment
- Azure Databricks
- Delta Live Tables (DLT)
- Unity Catalog
- Databricks Asset Bundles (DABs)
- Databricks Workflows
- PySpark
- Spark SQL
- MLflow
- Mosaic AI
- Azure Data Factory
- Azure Synapse
- Azure Data Lake Storage
- Dynamics 365 Finance & Operations (D365 F&O)
- Azure DevOps
- Power BI
- Terraform
- CI/CD
We are particularly interested in Enterprise Data Architects who have built and implemented Databricks frameworks, metadata-driven architectures, reusable engineering patterns and enterprise-scale data platforms, rather than candidates with only high-level Databricks exposure. Experience working on large-scale Azure and Databricks transformation programmes, ideally involving Finance data and D365 F&O integrations, is highly desirable.
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