DATA OPS

Route Schema-Change Webhooks to the Right dbt Owner by Severity

Receives a schema-change webhook from your ingestion tool, traces which dbt models depend on the changed table.

CategoryData Ops
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook receives schema-change eventHTTP webhook
  • ActionMap changed table to dependent dbt models and owners
  • LogicGrade severity: breaking vs additive
  • OutputPage on-call via PagerDuty for breaking changesPagerDutyPagerDuty
  • OutputPost low-key Slack note for additive changesSlack

What it does

Accepts a real-time webhook fired by your data-ingestion connector when it detects an upstream schema change. It maps the changed table to dependent dbt models, scores the change's severity, and routes the alert to the right place: an urgent page for breaking changes, a low-key Slack message for harmless additions.

When to use it

Use it when your loader (Fivetran, Airbyte, or similar) already emits schema-change events and you want push-based, severity-aware routing instead of polling. Ideal for teams that page on-call only for changes that can actually break a build.

How it works

  1. 1An HTTP webhook receives the schema-change event from the ingestion tool.
  2. 2The payload is normalized and the changed table is matched to its dependent dbt models and owners.
  3. 3A logic step grades severity: dropped or retyped columns are breaking, new nullable columns are additive.
  4. 4Breaking changes trigger a PagerDuty incident routed to the owning team's on-call.
  5. 5Additive changes post a non-urgent Slack note to the team channel for awareness only.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect PagerDutyIncidents, on-call, escalations.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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