# A public health-tech company has run on a 1.4 PB Snowflake warehouse plus a separate 6 PB raw S3 lak Canonical URL: Domain: Pipeline Design ยท Difficulty: medium ## Problem A public health-tech company has run on a 1.4 PB Snowflake warehouse plus a separate 6 PB raw S3 lake for four years. Two answers exist for every metric and storage costs grew 4x year over year. The new chief data officer commits to a unified lakehouse architecture. Apply the entire L3 tier so a single lakehouse archive feeds the warehouse mart, ML training, and regulator audits, with the operational app keeping its own store and a compaction job keeping file size in target. ## Related - [All practice problems](https://datadriven.io/problems) - [Mock interview mode](https://datadriven.io/interview/a-public-health-tech-company-has-run-on-a-14-pb-snowflake-w-0e33f810) - [System Design Interview Questions](https://datadriven.io/data-engineering-system-design) - [Data Engineering Interview Prep Guide](https://datadriven.io/data-engineer-interview-prep) - [Daily Challenge](https://datadriven.io/daily) --- Source: DataDriven (https://datadriven.io). 100% free data engineering interview prep. Live code execution against Postgres 16, Python 3.11, and Spark sandboxes. No paywall, no premium tier, no signup gate.