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
Migrations to Databricks
Off Snowflake, Synapse, Teradata and SQL Server, onto Lakehouse and Lakebase, with a cutover you can reverse.
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.