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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Databricks Data Architect - **Company:** Robert Half International Inc. - **Location:** London, UK - **Salary:** £182,000.0 - £195,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Architectural Patterns, Microsoft Azure, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Warehousing, Software Design Patterns, Apache Hive, Metadata, Power BI, Azure Data Lake, Enterprise Data Management, Azure Data Factory, Microsoft Fabric, Data Lakes, Pyspark, Kubernetes, Infrastructure Automation Frameworks, Data Lineage, Microsoft Dynamics 365 Finance & Operations, Data Management, Machine Learning Operations, Virtual Agents, Terraform, Azure Synapse Analytics, Databricks - **Published:** August 10, 2026 - **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-6E728C441A7864C8F5/ ## About the Role * 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 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. ## Description * 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 ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)