Most candidates describe their architecture without explaining WHY. See the STAR-based framework that turns a generic answer into a compelling story.
What architecture are you following in your current project, and why?
We follow a medallion architecture with Bronze, Silver, and Gold layers. Raw data lands in Bronze from Kafka and S3. Silver has cleaned and deduplicated data. Gold has business-level aggregates. We use Spark for transformations, Airflow for orchestration, and Delta Lake for storage. This gives us good data quality and makes it easy to debug issues.
I use a structured framework: Problem → Architecture → Trade-offs → Results.
The Problem: We had 200+ microservices emitting events (15TB/day), with dashboards showing stale data (4-6 hour lag) and no way to replay failed jobs. The monolithic ETL was a single Spark job that took 8 hours and failed weekly.
Microservices → Kafka (Avro) → Bronze (raw, append-only, Delta Lake)
→ Silver (deduplicated, SCD Type 2, schema-enforced)
→ Gold (business aggregates, materialized views)
Orchestration: Airflow DAGs per domain (orders, users, inventory)
Compute: Spark on Databricks (auto-scaling 8-64 nodes)
Quality: Great Expectations checks between each layerResults: Reduced pipeline failures from weekly to monthly. Cut dashboard latency from 4-6 hours to 15 minutes. Enabled 3 new ML features that required clean historical data.
Every candidate says 'medallion architecture.' The winning answer starts with the PROBLEM, includes real numbers (15TB/day, 200+ sources, 80% debugging reduction), and honestly discusses trade-offs.
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