Expertise
A governed lakehouse your executives can question
A data platform is only useful if people can ask it a question and believe the answer. We stand Databricks up with Unity Catalog first, then ingestion, then the layers and the Genie space. The six-week Lakehouse Launchpad is the named build. If the estate you are leaving is still an argument, the two-week Migration Readiness Sprint writes the scope down first.
Leaving a warehouse, or stalled after a pilot. A lakehouse with Unity Catalog, ingestion that holds, and a semantic layer someone will actually use.
80
Databricks-certified engineers on the bench today. Certification proves the floor. Fifteen years of average production experience is what decides whether the thing still works in month six.
- 27
- source platforms with migration playbooks that execute, from Snowflake and Synapse to Teradata and SAP
- 4
- engagements with a fixed shape and a fixed fee, so you know the cost before the first meeting
- 10 to 3
- the delivery team size Fabric took us to, on the same Databricks stack we build yours on
What we build
- Unity Catalog structure before the first pipeline
- Ingestion through Lakeflow or Jobs, whichever suits the source
- Bronze, silver and gold layers for the domains you name at the start
- A Genie space with definitions you can score, not a demo that dies in week three
Accelerators doing the work.
We stopped rebuilding the same few parts of a Databricks programme. These are what we bring: adopted in your workspace, under your Unity Catalog.
How this is delivered
Databricks implementation
Lakehouse to live application. Migration, governance, and native Databricks apps.
FAQ
Questions we get asked
How do you stand a Databricks lakehouse up?
The Lakehouse Launchpad at /databricks/launchpad is the six-week build: identity and environment strategy, Unity Catalog, ingestion, medallion layers, dashboards, and a Genie space with real semantic definitions. Scope is fixed at the start. Access is what moves the date.
We are still on a warehouse. Do we start with a build?
Not if the scope is still an argument. The Migration Readiness Sprint at /databricks/migration-readiness inventories the estate, agrees the exclusions, and hands you a wave plan. Fabric Airlift at /accelerators/fabric-airlift is the migration factory that sprint runs on.
What stops Genie contradicting finance?
Definitions that live in the semantic layer, and a suite that scores answers against ground truth. Fabric Experiments at /accelerators/fabric-experiments keeps that suite running. When a rollout has already lost the room, Genie Accuracy at /databricks/genie-accuracy is the two-to-four week engagement.
Do we have to rebuild a lakehouse that already works?
No. The Launchpad is for standing something up. If you already have a workspace, the Databricks Health Check at /databricks/health-check assesses what is there before anyone proposes rebuilding it.
Tell us what is stuck.
A technical conversation with a senior engineer. If a two-week readiness sprint is the honest first step, we will say so.