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The data platform's bill jumped again this month, and finance wants to know which team actually caused it.
What you'll have at the end
A cost breakdown by job or team naming the single biggest driver, with one fix proposed
You need
Read access to the data platform's own account-wide usage history (which queries ran, on which shared warehouse, for how many compute credits), and a credit total for this month that's higher than last month's.
Not covered
Building an ongoing chargeback process finance can run every month on its own, or capping future spend with an alert; this recipe explains one spike that already happened and fixes its one cause.
Is a resource monitor stopping your next runaway Snowflake bill?
to cap a shared warehouse's spend with an alert or a hard stop, instead of diagnosing a spike after it already happened
Turn an expensive nightly full-refresh model into an incremental dbt model
for a job that was never incremental in the first place; that recipe walks through the conversion itself
Checked 26 Aug 2026
Part of the Data Engineering Core cookbook