About This Architecture

Azure Databricks Private Platform with Unity Catalog implements a secure, multi-subnet architecture isolating ingestion, compute, data, and security layers within a VNet spanning 10.0.0.0/16. The Private Databricks Workspace orchestrates an autoscaling cluster (1 driver, 2 workers max) that executes notebooks and scheduled jobs, with Unity Catalog and Access Connector mediating all Delta Lake access through ADLS Gen2. Key Vault manages secrets, Azure AD enforces identity, NSGs control network traffic, and Azure Monitor provides observability across the platform. This architecture demonstrates least-privilege network isolation, unified governance, and infrastructure-as-code principles critical for enterprise data platforms. Fork and customize this diagram on Diagrams.so to adapt subnet ranges, cluster sizing, or monitoring integrations to your organization's requirements.

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How do I design a secure, private Azure Databricks platform with Unity Catalog and proper network isolation?

This diagram shows a production-grade architecture using VNet subnets (ingestion, compute, data, security) to isolate workloads, Unity Catalog with Access Connector to govern Delta Lake access via ADLS Gen2, Key Vault for secrets, Azure AD for identity, and NSGs for network control. The autoscaling cluster (1 driver, 2 workers max) executes notebooks and jobs within the private workspace, ensuring