About the Client:
Our client is a well-established regional bank headquartered in the Midwest, operating across several states. They provide a full suite of financial services—from everyday banking to commercial lending, wealth management, and digital offerings.
Background:
After moving their analytics workloads to Snowflake, the bank saw immediate performance and scalability benefits. But as more departments—risk, marketing, compliance, fraud—started using the platform, cracks began to show in their development process.
Releases were slow. Teams were stepping on each other’s toes. Manual deployments led to frequent production issues. And with no real version control in place, audits became a painful, reactive process. It was clear: to keep up with the growing demand for data-driven decision-making, they needed a better way to build, test, and ship changes on Snowflake.
Challenge:
- Slow Development Cycles – Weeks-long releases due to manual testing and deployments
- Environment Drift – Inconsistent Snowflake environments led to frequent breakages.
- No Version Control – Limited auditability and rollback options for code and pipelines.
- Inefficient Collaboration – Siloed teams, conflicting codebases, and unclear ownership.
- Manual Errors – Deployments prone to mistakes—critical in a regulated environment.
