{
  "id": "databricks-lakehouse-engineering-at-azure",
  "name": "Databricks Lakehouse Engineering at Azure",
  "type": "skill",
  "provider": "databricks",
  "harnesses": [
    "codex",
    "claude-code",
    "cursor",
    "gemini",
    "kiro",
    "other"
  ],
  "summary": "Review Databricks Lakehouse engineering on Azure: medallion architecture, Delta Lake pipelines, ADLS Gen2 access via Unity Catalog storage credentials and Access Connector managed identity, cluster access mode enforcement, AKV-backed secret scopes, and VNet isolation patterns.",
  "source_type": "original",
  "official_docs": [
    "https://docs.databricks.com/en/lakehouse/index.html",
    "https://docs.databricks.com/en/connect/storage/azure-storage.html",
    "https://learn.microsoft.com/en-us/azure/databricks/connect/storage/tutorial-azure-storage",
    "https://docs.databricks.com/en/clusters/cluster-config-best-practices.html"
  ],
  "security_notes": "Never execute cluster create/edit, storage credential creation, or external location changes against a live workspace during review. Flag credential passthrough usage (deprecated DBR 15.0+) and Standard cluster mode on Unity Catalog workloads. Require explicit approval before any production infrastructure change.",
  "last_verified": "2026-06-17",
  "path": "skills/databricks/databricks-lakehouse-engineering-at-azure",
  "author": "github: VincentChuWaiChow",
  "version": "0.1.0",
  "companion_agents": ["databricks-lakehouse-engineering-at-azure-agent"]
}