Propose a technical architecture for a centralized Metrics Layer.
This tests your grasp of data governance and semantic layers. A great answer outlines a system with a central definition store (e.g., YAML in Git), a query engine, and an API, ensuring all teams get consistent metric results.
This tests your ability to design a system for data consistency, separating metric logic from data storage. A strong answer outlines a headless BI architecture: a data connection layer, a version-controlled semantic layer to define metrics once, and an API/caching layer for consumption. A common red flag is simply describing a new data warehouse, which fails to solve the core problem of inconsistent metric definitions.
Read the original → thenewstack.io
- #data architecture
- #analytics
- #metrics
- #system design
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