Architecture blueprint
Sources, movement, storage, modeling, access, and serving patterns documented as one coherent system.
Service practice
Data architecture & cloud platforms
Design and modernize the platforms that store, organize, secure, and serve operational and analytical data.
Our perspective
The platform should make important data easier to use and govern. It should not merely move existing complexity into a newer tool.
Capability catalog
Work within this practice
- Target-state data architecture
- Warehouse and lakehouse design
- Snowflake implementation and optimization
- Microsoft Fabric and Azure analytics
- Dimensional and semantic modeling
- Cloud data migrations
- Legacy warehouse modernization
- Performance and cost optimization
Concrete output
What the work can produce
Modern platform
A right-sized implementation that supports the first valuable workloads without closing off future growth.
Migration path
Phased movement with reconciliation, rollback, and operating continuity built into the plan.
Operating baseline
Performance, cost, access, documentation, and ownership practices for the team taking it forward.
Technical context
Platforms and disciplines
- Snowflake
- Microsoft Fabric
- Azure
- SQL
- Warehouses
- Lakehouses
Compare the delivery boundary before choosing a starting point.
Review defined engagements, delivery models, and technology evidence without repeating the service catalog.