One governance model.
Every environment.
Organization, permissions, environments, and audit — implemented as one reproducible operating model for Databricks.
A governance accelerator for Databricks — not a replacement for it.
LakeShepherd is an accelerator for designing and deploying Databricks organization, permissions, environment separation, and audit as one operating model. It combines best practices, configuration templates, management features, and a delivery service to reflect each organization’s structure and approval process into the live environment.
Engorgio itself stays vendor-neutral — but for organizations that have chosen Databricks as their lakehouse, LakeShepherd is the accelerator built specifically for it.
- Newly adopting DatabricksCompanies that want a consistent operating model for organization, permissions, and environment separation from day one
- Already on DatabricksCompanies revisiting ad-hoc, tribal-knowledge operations to re-align with best practices
- Scaling usageCompanies standardizing rules across multiple departments and workspaces
- Audit & security requirementsCompanies that need to connect approval and audit requirements to permission operations in Databricks
Six capabilities, one operating model.
Complements Databricks native governance — doesn’t replace it.
Databricks provides native governance features centered on Unity Catalog, including Governance Hub for visualizing governance state platform-wide. LakeShepherd doesn’t replace these.
It complements them by handling the organization, permission, and environment design that precedes that state, and the approval, change, and audit process that keeps it accurate.
Ready to build a governance model
that scales with your organization?
LakeShepherd is delivered alongside Engorgio’s Reshape (Design & Deployment) program — not as part of it.