Enterprise Databricks Data Architect

As Enterprise Data Architect, you will define and enforce enterprise data standards and design scalable Databricks Lakehouse solutions to underpin Finance data analytics and AI enablement. You will lead governance, metadata, and security across Azure Databricks and Power BI ecosystems, collaborating with Finance and Product teams. You’ll shape data models and reusable engineering patterns to support self-service reporting and AI-driven insights at scale. This role combines hands-on architecture with stakeholder leadership in a high-impact data platform program.

• 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 for Finance, Analytics and Reporting
• Develop reusable data engineering frameworks and accelerators
• Build metadata-driven ingestion, transformation and orchestration frameworks
• Define governance, lineage, security and cataloguing standards
• Provide architecture leadership across Databricks, Azure and Power BI ecosystems
• Collaborate with Finance, Data Engineering, Product and Business stakeholders
• Support AI enablement by establishing trusted data foundations
• Mentor engineering teams and promote engineering best practices

• Strong Enterprise Data Architecture background
• Experience designing enterprise data frameworks, standards and patterns
• Expert data modelling (conceptual, logical, physical, dimensional)
• Extensive Azure Databricks experience in large-scale environments
• Databricks Lakehouse architecture and medallion patterns
• Databricks data engineering using PySpark and Spark SQL
• Delta Live Tables (DLT)
• Unity Catalog 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, ADF, Synapse, Databricks)
• Azure DevOps, CI/CD and IaC
• Enterprise data governance, data quality and lineage frameworks
• Experience integrating Dynamics 365 F&O into enterprise data platforms
• Experience delivering Finance Data Lake/Data Warehouse/Lakehouse programs
• Strong stakeholder engagement and solution design capabilities

• Stakeholder engagement
• Solution design
• Mentoring
• Azure Databricks
• Delta Live Tables (DLT)
• Unity Catalog