Design an External Career Data Analytics Platform

Asked by:Mercor

data_modelingstoragestreamingconsistencycaching

Problem Overview & Requirements

Design a governed data platform that preserves external career records, publishes joinable historical models and aggregates, and serves trustworthy stakeholder dashboards.

Key Pillars: High Availability, Low Latency, Scalability, Fault Tolerance.

Topics & Components: data_modeling, storage, streaming, consistency, caching.

System Design Breakdown

1. Requirements & Scope

Functional & non-functional requirements, DAU/MAU estimates, read/write throughput.

2. High Level Architecture

API Gateway, Load Balancers, Application Microservices, Caching Layer & Message Queue.

3. Data Model & Storage

SQL vs NoSQL selection, schema design, sharding keys, indexing, and replication strategy.

4. Bottlenecks & Trade-offs

CAP theorem trade-offs, consistency models, rate limiting, and cache invalidation strategies.