Cowbell · 2023 - Present
Enterprise Data Foundation
A reusable data foundation for risk, products, analytics and AI, not one-off pipelines. Ingestion, medallion warehouse layers, domain marts and operational distribution from a single architectural spine.
Kumar Gaurav · Staff Data ArchitectThe problem
Every team was building its own pipelines for the same data. Business logic was duplicated, lineage was unclear, and new products meant new plumbing.
Key decisions
- Separate ingestion from transformation so sources can change without breaking models.
- Keep raw data for traceability before any business logic is applied.
- Build reusable domain marts instead of team-specific extracts.
- Decouple analytical and operational workloads.
- Treat data distribution as a platform capability, not a per-project afterthought.
Outcome
One foundation now serves risk intelligence, analytics, products, operational applications and AI workloads without each team rebuilding pipelines.
Architecture flow
- Data sources
- Ingestion, streaming and replication
- Bronze: raw and traceable
- Silver: standardized
- Gold: curated business models
- Domain data marts
- Operational distribution, APIs, search and AI
More architecture work
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