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Unity catalog and lakehouse governance

Skill vaquarkhan/data-engineering-agent-skills/skills/unity-catalog-and-lakehouse-governance

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Guides agents through Unity Catalog governance workflows for Databricks lakehouses. Use when defining catalogs, schemas, external locations, access boundaries, shares, lineage, and cross-workspace governance for governed Delta Lake, ML, analytics, and serving assets.

SKILL.md

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Unity Catalog And Lakehouse Governance

Overview

Use this skill when Unity Catalog is the core governance surface for a Databricks platform. It helps agents design governed boundaries across catalogs, schemas, storage locations, shares, and access paths for lakehouse data products.

When to Use

  • designing Unity Catalog hierarchy and ownership
  • defining external locations, credentials, and storage boundaries
  • governing shared Delta tables, views, volumes, or models
  • reviewing cross-workspace or multi-team lakehouse governance
  • planning secure sharing, publish approvals, or governed consumer access

Do not reduce Unity Catalog to permissions only. It is also a publish, ownership, and operating-boundary decision.

Workflow

  1. Define the governance hierarchy. Decide:

    • catalog boundaries
    • schema boundaries
    • producer versus consumer separation
    • ownership and stewardship paths
  2. Define storage and credential boundaries. Cover:

    • external locations
    • managed versus external tables
    • storage credentials
    • workspace and environment separation
  3. Define access and sharing behavior. Include:

    • roles and groups
    • row or column restrictions where needed
    • governed views
    • cross-team or external sharing expectations
  4. Align governance with lakehouse delivery. Require:

    • clear publish layers
    • lineage visibility
    • certification or trust signals
    • handling for schema and contract change
  5. Validate day-2 operations. Review how promotions, new workspaces, external consumers, and object-store boundaries behave under the governance model.

Common Rationalizations

RationalizationReality
"We already use Databricks, so Unity Catalog design is obvious."Poor catalog and location design creates long-term friction in ownership, sharing, and environment boundaries.
"We can give broad workspace access and tighten later."Over-broad access becomes hard to unwind once shared data products are adopted.
"Lineage comes for free."Platform lineage is useful only when publish boundaries and ownership are designed intentionally.

Red Flags

  • catalogs and schemas do not map to ownership or publish boundaries
  • external locations and credentials are inconsistent or ad hoc
  • workspace separation and environment promotion are vague
  • sharing or external-consumer behavior is undocumented
  • governed lakehouse objects are published without trust or lineage signals

Verification

  • Catalog, schema, and ownership boundaries are intentional
  • Storage and credential boundaries are explicit
  • Access and sharing rules fit the consumer model
  • Publish and lineage expectations are visible
  • Promotions and day-2 operations work with the governance design

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