Platform
Data Platform, built to run.
Production-grade Databricks Lakehouse on Azure, engineered for regulated environments and high-volume analytics.
The problem
Most enterprise data platforms fail the same way: they look fine in the demo, and then buckle when real load arrives or when the regulator asks a question that wasn’t in the original requirements. The gap is rarely at the storage layer. It’s in the architecture — what lives where, who owns what, and whether governance was designed in or bolted on.
What the practice delivers
The Cloudbuilder Data Platform is a production-grade Databricks Lakehouse on Azure — Delta Lake for storage, Spark and SQL for compute, CI/CD pipelines for delivery, and identity, security and governance designed in from day one. The practice is stack-agnostic across Azure and Databricks: the same team ships Databricks Lakehouse, Azure-native pipelines, and Kimball-modelled warehouses on the engagements that require them.
Microsoft Fabric implementation is in active development within the practice; it is not yet a client-facing delivery option.
In practice
The Data Platform has been delivered into regulated financial services, high-volume marketplace analytics, and aviation infrastructure modernisation. Each engagement designs architecture against the specific compliance surface, the specific scale, and the specific handover target — not against a template. Principal-led throughout.