Your Databricks works. Does it work well — and what does it burn?

Who it is for

Databricks shops whose DBU burn is climbing, whose lakehouse grew without a blueprint, or who need Unity Catalog governance to satisfy security and audit.

The problem it solves

Workspace sprawl is the silent tax: jobs that never rightsize, storage with no lifecycle, governance that lives in tribal knowledge. The review turns the tax into a number — and a plan to cut it.

What's included

• Unity Catalog review: lineage, masking, and access-as-code posture
• Medallion layering audit with promotion rules and quality-gate assessment
• Cluster and job configuration review, including autoscaling
• Cost architecture: DBU burn analysis, storage lifecycle, chargeback readiness
• Written remediation plan your team can execute

Deliverables

• Written architecture review report
• Cost-burn analysis with rightsizing recommendations
• Governance gap report for Unity Catalog
• Sequenced remediation plan
• Read-out session — led with the annualized savings number

Typical duration

Two weeks, remote. Read-only workspace access and usage-data analysis, stakeholder sessions as needed, remediation plan and read-out at the end.

What happens afterward

Reviews convert into Lakehouse Engineering — a governed lakehouse build — Data Pipelines & Platform rebuilds, or an embedded pod that executes the remediation plan inside your rituals. Cost findings are the wedge for the business case.

Start free, then go deep

Our Data Platform Health self-assessment is a free self-assessment you can finish in minutes. This engagement is the next level: we get inside your environment and produce findings your team can execute.