DATA OPS
Auto-Generate and Apply Snowflake Reconciliation DDL
On a schedule it detects additive schema drift, generates the ALTER TABLE statements that bring Snowflake back in line with BigQuery, applies only the safe additive changes.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled reconciliation pass
- ActionRead BigQuery and Snowflake schemasBigQuery
- LogicSplit diff into safe vs destructive
- ActionApply additive ALTER TABLE DDLSnowflake
- ActionArchive applied/skipped DDL audit logShell
- OutputPost reconciliation summary to SlackSlack
What it does
This workflow closes the loop on reconciliation. It diffs BigQuery against Snowflake, then for purely additive drift (new columns, widened types) it generates and executes the corresponding Snowflake DDL automatically. Destructive or ambiguous changes (drops, narrowing, renames) are never auto-applied; they are collected into a report for a human to decide.
When to use it
Use it when most upstream changes are safe column additions you are tired of hand-applying, but you still want a guardrail against anything that could lose data. It removes the toil of routine ALTERs while keeping risky changes under human control.
How it works
- 1A scheduled trigger runs the reconciliation pass.
- 2It reads the BigQuery and Snowflake schemas for the watched tables.
- 3A logic step splits the diff into safe-additive versus destructive buckets.
- 4It runs the generated additive ALTER statements against Snowflake.
- 5A shell step archives the applied and skipped DDL as an audit artifact.
- 6A summary report posts to Slack, flagging anything left for manual review.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect SnowflakeWarehouses, queries, shares.
- 3Connect ShellRun sandboxed commands inside the workspace.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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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.
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