Data platform architecture
We design lakehouse and warehouse platforms around how your organisation actually produces and consumes data. Storage layout, catalog, security model and delivery layers are decided together, not bolted on later.
Enterprise data engineering
Data platforms that hold up in production.
QubicsData designs and builds enterprise data platforms: metadata-driven frameworks on Azure and Databricks, pipelines that stay reliable, and teams that know how to run them.
What we do
Four things we are asked for most.
Metadata-driven data frameworks
Instead of hand-writing every pipeline, we build frameworks that generate ingestion, validation and publishing from configuration. A new source takes hours instead of weeks and behaves like every other.
Azure, Databricks and Unity Catalog
We build on Azure and Databricks every day: Unity Catalog for governance, Delta for storage, workflows and declarative pipelines for orchestration. We set them up so access, lineage and cost stay visible.
ETL and ELT pipelines
We build and repair the pipelines that move data between operational systems, platforms and consumers, including the awkward ones: SAP extracts, legacy files, change data capture and late corrections.
Industries
Where we have done this before.
- Banking
- Insurance
- Fintech
- Biotechnology
- Manufacturing
- Consulting
- Retail
Have a platform to build or fix?
Tell us where the data is, where it needs to be and what is in the way.