DATA OPS
Weekly BigQuery Cost Attribution Report by Owner
Builds a weekly leaderboard of BigQuery spend grouped by query owner and dataset, writes the rollup to a Snowflake reporting table.
How it runs
The automated pipeline, trigger to output.
- TriggerMonday 8am schedule
- ActionAggregate weekly cost by owner + datasetBigQuery
- LogicRank owners, compute share, flag WoW jumps
- ActionWrite rollup to Snowflake reporting tableSnowflake
- OutputPost owner leaderboard to SlackSlack
What it does
Produces the weekly accountability report finance and platform leads actually want: total BigQuery spend broken down by owner and dataset, week-over-week change, and each owner's share of the bill. It persists the rollup into a Snowflake table so chargeback and trend analysis live alongside the rest of your reporting, and drops a readable Slack summary so the numbers reach people without a SQL client.
When to use it
Use this for monthly chargeback prep, cost-review meetings, or any time leadership asks "who is driving our warehouse spend." It replaces the manual spreadsheet someone rebuilds every Monday.
How it works
- 1A Monday 8am schedule kicks off the report.
- 2BigQuery aggregates the trailing week's cost grouped by owner and dataset, with the prior week for deltas.
- 3A logic step ranks owners, computes share-of-spend, and flags week-over-week jumps.
- 4The rollup is written to a Snowflake reporting table for durable history.
- 5Slack receives the formatted owner leaderboard and top movers.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect SnowflakeWarehouses, queries, shares.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Data Ops workflows
BigQuery Per-Team Budget Breach Alert to PagerDuty
Tracks month-to-date BigQuery scheduled-query spend per team and, when a team crosses its monthly budget, pages the team's on-call in PagerDuty and snapshots the spend breakdown…
dbt orphan model detector with Linear cleanup tickets
Scans your dbt manifest for models that no other model, exposure, or BI tool consumes.
Weekly BigQuery Cost Trend Sheet and Exec Digest
Compiles week-over-week BigQuery scheduled-query cost by owner and dataset into a Google Sheet with trend columns.
Backfill Missing Owner Labels on BigQuery Scheduled Queries
Finds scheduled queries with no owner label, infers the likely owner from creator metadata and target-table lineage, proposes a label.
Daily BigQuery Scheduled-Query Cost Attribution to Owners
Each morning, totals the prior day's on-demand bytes-billed per scheduled query, maps each query to its owner from a label, and posts a per-owner cost leaderboard to Slack.
dbt source freshness watcher with severity-routed alerts
Checks Snowflake loaded-at timestamps against each dbt source's freshness SLA, then routes warnings to Slack and hard breaches to a PagerDuty incident so stale data never…
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.