Story
Snowflake
SoFiSoFi Standardizes Feature Pipelines on Snowflake
SoFi, a financials organization in the United States, uses Snowpark from Snowflake to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because feature pipelines has a clear owner |
| Risk and compliance | Snowpark is the governed place data scientists and ML engineers use for applied machine learning |
| Capability | New joiners can see how applied machine learning actually runs |
Story
Financials work at SoFi spans more than one site, even when headquarters sits in the United States. Feature pipelines was splitting across regional habits. Data scientists and ML engineers asked for a shared way to run applied machine learning without freezing local judgment.
Snowflake (Snowpark) is what they standardized on. Snowflake is a cloud data platform that separates storage and compute so organizations can share, analyze, and govern data across clouds. SoFi uses it as the system of record for feature pipelines, with data scientists and ML engineers as the primary operators and other groups coming in through the same queue.
Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.
