Data pipeline failure ownership and escalation tracker
Problem
When a scheduled pipeline fails, the only place it shows is inside the orchestration tool's own run log, and the analyst on shift is rarely the person watching that particular job. Ownership lives in someone's memory, or in a wiki page nobody has opened since the person who wrote it left. A contractor who built half the connectors two seasons ago is long gone, so a failed load sits red in the scheduler for days until a board report quietly cites last week's attendance figures instead of this week's. The usual fix is a Slack message asking whether anyone knows who owns the ticketing sync. Someone eventually claims it, reruns it by hand, and nothing records that it happened or how long the data was wrong.
Product idea
A small registry maps every pipeline to an owner, a notification channel and an escalation window. When a run fails or a freshness check is missed, the tool opens a tracked incident, notifies the owner directly rather than dropping it into a channel with a hundred other messages, and escalates to the head of data if nobody acknowledges it within the agreed time. Closing an incident requires a short resolution note, so there is a record of what broke and what fixed it, not just a green tick the next morning. It deliberately does not diagnose the failure or rerun anything automatically. It routes the problem to a person and tracks whether they dealt with it, which is the handoff that currently happens by chance.
Who it is for
Data engineers who fix failed pipelines, analytics engineers and BI analysts who first notice a number looks wrong, and the head of data who sponsors it as the escalation point.
Possible first version
A manually maintained registry of pipelines, owners, notification channels and escalation windows; a webhook endpoint that accepts failure and freshness events from one orchestration tool; owner notification with acknowledge and resolve actions; and an incident list showing open items and time to acknowledge. Version one connects to a single orchestration tool and pushes notifications to one messaging channel type. It does not read logs from individual vendor connectors directly, does not attempt auto-remediation, and does not write into a separate ticketing or service management system. Exporting the incident list for reporting is manual.
- Build classification
- Workflow application
- Rough effort
- 5-6 week first build
- Roles involved
- Data engineer, Head of data, Analytics engineer, Insight and BI analyst
- Relevant to
- Professional club, League office, Federation / governing body, Venue & stadium operator
- Systems in play
- Pipeline orchestration and scheduling, Messaging apps, Cloud data warehouses and lakehouses
- Product framing
- Automate a workflow
Questions we get asked
What do we actually need in place before this is useful?
A registry mapping each pipeline to an owner and a notification channel, and one orchestration tool that can emit failure or freshness events, such as Airflow, Dagster or Prefect. If ownership is genuinely unknown for a chunk of your pipelines, building that registry is the more valuable exercise on its own, and it has to happen before the tool has anything to route.
Does this replace the alerting our orchestration tool already sends?
No, it sits alongside it. The orchestration tool's own alert says a run failed. This answers the next question: who is responsible, have they seen it, and what happens if they have not looked in two hours. Keep the existing alert as the raw signal; this is the accountability layer on top of it.
Our data engineer already watches the pipeline dashboard, why add another tool?
That works fine while one person can hold every pipeline in their head and never takes a week off. It stops scaling once the pipeline count outgrows one person's attention, and vendor schema changes in particular tend to surface as quiet drift rather than a failed run, which someone scanning for red is likely to miss entirely.
What happens to a pipeline nobody has claimed ownership of yet?
It sits in the incident list as unassigned rather than failing invisibly, which forces the assignment conversation instead of letting it default to whoever happens to notice. It is not a substitute for actually deciding who owns each pipeline, and an incident list full of unassigned items is a sign that decision has been deferred, not that the tool is broken.
Is this your workflow?
Tell us one sports workflow that still runs on paper, spreadsheets, WhatsApp or an outdated system. We will map it and show you what a simpler product looks like.
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