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Migration of Analytics Workload from Snowflake to BigQuery

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Client

The client is a SaaS-based applicant tracking software and
recruiting platform that helps thousands of companies source,
hire, and onboard top talent.

Project Context

The client’s analytics setup used Snowflake and Looker, but faced slow queries, ETL lag, and high storage costs.

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Project Objectives

Demonstrate BigQuery’s low-latency capabilities. Simplify pipeline architecture. Improve ETL freshness. Integrate existing Looker dashboards with BigQuery backend.

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Challenges

4B–5B events per week with 70+TB in Snowflake
4–6 hour ETL lag
Need for simplified, cost-efficient data architecture

Solution

Migrated from Snowflake to BigQuery
Integrated Looker dashboards with BQ
Built reliable pipelines with reduced latency
Delivered faster and fresher data insights

Solution Delivery

SquareShift migrated the client’s workload to BigQuery, delivering <10s dashboard refresh speeds, higher data freshness, and simplified architecture with better TCO.

To explore the full scope, use the download link below.

Testimonial

Thanks to SquareShift, our analytics stack now runs faster, costs less, and performs better with real-time insights.

Technology Stack

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