01 · Start
Up and running in days, not months
A proven deployment playbook and guidance on the setup decisions that are hard to undo later: workspaces, Unity Catalog, networking, identities.
Azure Databricks · Lakehouse architecture · AI-ready data platforms
Databricks at the core, and everything around it.
For the last five years, every project has had Azure Databricks at its center, along with the work around it: Azure setup, source systems, governance and reporting. You get a seasoned view on what to decide early, what to leave flexible, and what will bite you in production.
SourcesSAP, core systems, files, APIs
BronzeRaw, as landed
SilverCleaned and conformed
GoldReady for BI and AI
Use casesDashboards, ML, agents
Unity Catalog governs every layer
- Working with Azure Databricks since
- 2018
- Of projects centered on Databricks
- 5 years
- Databricks MVP
- MVP
- Strong focus on financial services
- Finance
What we do
From first workspace to steady operations.
Most teams need a different kind of help at each stage. We meet you where you are and leave you with a platform your own people can run.
02 · Grow
Pipelines that hold up in production
Blueprints for robust, scalable ingestion, new sources added as you need them, and prototypes that turn new data ideas into something people use.
03 · Run
Lean operations, continuous value
Adopt new Databricks features with intent, fix data quality and pipeline issues fast, and keep the platform current without a big ops team.
Who you work with
Martin Debus, founder
Martin has worked with Azure Databricks since 2018 and founded SNOWGLOBE in 2022 to build Databricks platforms end to end, from the Azure infrastructure underneath to the reporting on top. Before that, he was the first data scientist at EDEKA and grew its Data & Analytics team to more than 20 people.
When you hire SNOWGLOBE, you work with him directly. No handoff to a junior team.
Databricks MVPRecognized by Databricks for community contributionsThe Lakehouse Path
Notes from building real lakehouses.
Let's talk about your lakehouse.
Thirty minutes, no slides. Bring the question that keeps coming back.