Designed around your real business problem.
A strong data platform starts with the right architecture—not with a collection of tools. I help organizations define a practical target architecture that can scale with data volume, users, workloads and business priorities.
What this service covers
- ✓Current-state architecture assessment and gap analysis
- ✓Target-state data platform architecture and component design
- ✓Lakehouse, warehouse and hybrid architecture decisions
- ✓Batch, streaming and event-driven ingestion patterns
- ✓Data modeling, storage, processing and serving layers
- ✓Security, governance, lineage and environment strategy
- ✓Technology selection, trade-offs and implementation roadmap
Typical outcomes
- ✓A clear architecture your engineering and business teams can understand
- ✓Defined platform components, responsibilities and data flows
- ✓A prioritized roadmap from current state to target state
- ✓Better scalability, reliability, maintainability and cost visibility
Relevant technologies
Azure · Databricks · ADLS Gen2 · Synapse · Data Factory · Delta Lake · SQL · Power BI