Databricks
Lakehouse to live application.
TechFabric is a Databricks partner with 80 Databricks-certified engineers, and Databricks is where we have chosen to go deep rather than wide. We build data platforms, governed AI systems, and native Databricks applications on Unity Catalog, Lakeflow, Databricks Apps, AI Gateway, and Genie — and we run our own products on the same stack.
80
Databricks-certified engineers on the bench today — a count, not an ambition. Certification proves the floor. Fifteen years of average production experience is what decides whether the thing still works in month six.
Three ways to start, each with a fixed shape.
Scoped engagements with a defined length and a defined deliverable, so you can judge the work before committing to a programme.
Two weeks
Health Check
Teams already on Databricks whose bill is growing faster than the work
Book a workspace teardownSix weeks
Lakehouse Launchpad
Teams modernising off a legacy warehouse, or stalled after a pilot
Scope a LaunchpadTwo to four weeks
Genie Accuracy
Teams whose natural-language analytics lost the room
Book a Genie accuracy sessionAccelerators doing the heavy lifting.
Adoptable software we run ourselves, not slideware. They shorten the parts of a Databricks programme that are the same every time.
Fabric Airlift
A governed migration factory for moving warehouse and ETL estates to Databricks.
Fabric Runway
A governed delivery accelerator for Databricks Apps and GenAI workloads.
Fabric Radar
Governed mission control for running data and ML workloads on Databricks.
Fabric Experiments
A Databricks adoption accelerator for quality engineering, experimentation, and governed delivery.
FAQ
Questions we get asked about Databricks
How many Databricks-certified engineers does TechFabric have?
Eighty. That is the certified count today, not a target we are working towards, and they sit inside a team of 115+ across Phoenix, Amsterdam, Dnipro and Hyderabad. Certification is the floor rather than the claim: what matters is that the same engineers have shipped production software for fifteen years on average.
Do we have to already be on Databricks to work with you?
No. Some engagements start before the first workspace exists, some rescue a stalled pilot, and some are a migration off a warehouse that has stopped paying for itself. Databricks is our specialty, not a prerequisite — we also build on Azure, AWS, GCP and Cloudflare when that is where you already are.
What makes you different from a data consultancy?
We are a software company that went deep on Databricks rather than a data practice that added application work later. Most partners stop at the pipeline and the dashboard. The systems people actually use — the application on top, the durable API underneath, the agent that survives production — are ordinary work here.
Which Databricks surfaces do you work with?
Unity Catalog, Lakeflow, Delta, Databricks SQL, Databricks Apps, Model Serving, AI Gateway, Genie, Lakebase and Asset Bundles. Our accelerators are built on those same surfaces, so what we recommend is what we run.
Tell us what is stuck.
A technical conversation with a senior engineer, not a sales call. If a two-week health check is the honest answer, we will say so.