Databricks. Azure. Lakehouse architectures. Pipelines that run. BI environments that reflect reality. Legacy data warehouse migrations. We build the foundation your AI needs.
What we deliver.
Lakehouse platforms on Databricks
Greenfield or modernised. Bronze-silver-gold zone architectures. Unity Catalog governance. Delta Live Tables. Production-grade from day one.
Azure data platforms
End-to-end on Azure — Data Lake, Synapse, ADF, Fabric. Reference architectures aligned to Microsoft’s well-architected framework.
BI modernisation
Power BI, SAP Analytics Cloud, Tableau. Semantic layers that survive turnover. Reports that match the actuals.
Legacy DWH migration
From Teradata, Oracle, SQL Server, on-prem Hadoop into modern lakehouses. Tested cutover. Documented rollback. No data loss.
Who this is for.
Heads of Data and Analytics
Building a platform that scales beyond reporting — a foundation for governed analytics and AI workloads.
IT Directors and CTOs
Modernising legacy warehouses, consolidating fragmented data estates, getting compliance and observability under control.
Heads of BI
Replacing fragile reports with a semantic model that survives organisational change.
How an engagement runs.
Architecture review
We review your current state — sources, pipelines, warehouses, BI tools — and document what we find.
Target architecture and roadmap
We propose a target architecture, a phased migration plan, and a commercial framework.
Pilot
A scoped, working slice — one source, one pipeline, one report. Validates the architecture before scale.
Production build
Senior-led delivery in two-week cycles. Visible progress. No surprises.
Handover
Documentation, runbooks, training. Your team operates the platform when we’re done.
Where we’ve done this.
Stadler Rail
BI architecture redesign on Databricks. SAP Analytics Cloud. Power Platform automation across reporting workflows.
SoftwareOne
Legacy data warehouse migration to Databricks. 10+ services. 1TB+ data migrated. Cutover plan with rollback.
Rosenxt
Greenfield Data Lakehouse on Databricks (Azure). Infrastructure as Code with Terraform. Internal team enablement to operate the platform after handover.
Why this team.
- Senior-led, every time: Every engagement is staffed with senior engineers as the lead. Not a junior team learning on your dime.
- Architecture that survives turnover: We document, name, and structure for the people who come after us. No “tribal knowledge” handovers.
- Build and transfer, not vendor lock-in: We hand over a working platform. Your team operates it. You keep the IP.
Ready to scope a data platform engagement?
Tell us what’s in place and what’s missing. We’ll come back within one business day with the right next step.