Why this matters
Support teams keep your data platform reliable at 2 a.m. Onboarding notes are their launchpad: what the system does, where it breaks, how to triage, and who to call. As an ETL Developer, clear notes reduce MTTR, prevent escalations, and protect SLAs.
- Real tasks: triage failed jobs, replay loads, rotate credentials, check data health, coordinate incidents, communicate status.
- Good notes = fewer handoff meetings, faster fixes, and safer operations.
Concept explained simply
Onboarding notes are a short, action-oriented brief for support: how to get started, what to watch, and what to do when things go wrong. Think of them as a survival kit, not a textbook.
Mental model
Use the 4-R model:
- Reach: where to access things (dashboards, logs, storage, credentials).
- Run: how the pipelines flow (triggers, dependencies, schedules).
- Resolve: standard operating procedures for common failures.
- Relay: who to notify and how to escalate.
What good onboarding notes include
- One-screen overview: purpose, key data sets, business owners.
- Architecture sketch + data lineage in plain words.
- Run info: schedules, triggers, SLAs/SLOs, expected volumes.
- Observability: dashboards, top alerts, log locations, sample queries.
- Runbooks: step-by-step for top 5 incidents (with commands and decision points).
- Access & credentials: where stored, rotation policy, least-privilege notes (no secrets in docs).
- Escalation matrix: contacts by severity/time, fallback channels, paging rules.
- Change/maintenance: deployment windows, rollback steps, known gotchas.
- Glossary: key terms, dataset names, abbreviations.
Tip: Keep it short
Target 1–3 pages. Link out to deeper docs via internal navigation in your platform. Put the top 20% info that solves 80% of issues.
Worked examples
Example 1: 1-page first-week cheat sheet
System: Daily Orders ETL
Purpose: Load ecommerce orders from app DB to warehouse for analytics.
Schedule/SLA: Daily 02:00 UTC; SLA: complete by 03:00 UTC.
Critical tables: dw.orders, dw.order_items
Usual volume: 150k orders/day
Dashboards: Pipeline status, data freshness, error rate
Common issues: Late source export, S3 403, warehouse load timeout
First response: Check last run status, verify source export presence, retry loader if transient, escalate if >30 min behind SLA.
Contacts: Data Eng on-call; Biz owner: Sales Ops Manager
Example 2: Incident triage flow (text)
- Is alert valid? Check dashboard freshness and last 3 runs.
- Classify: Source issue vs. Transform job vs. Load job.
- Source issue: confirm export file presence and size; if missing, notify source team, set status to "waiting on dependency".
- Transform issue: open last 200 lines of logs; if schema change, apply mapped fallback or pause downstream.
- Load issue: check warehouse concurrency; if saturated, queue retry with backoff.
- If unresolved in 20 minutes or SLA risk > 30 minutes, escalate Severity 2.
Example 3: Runbook snippet for a failed transform
Alert: transform_orders failed with ColumnNotFound
- Open job logs; search for "ColumnNotFound".
- Run sample query on staging: select top 10 rows from raw.orders for new columns.
- If new column exists, update mapping YAML using optional field strategy; run dry-run validation.
- Re-run transform; verify row counts within ±2% of prior 7-day average.
- Post status update with cause, fix, and recovery ETA.
Rollback plan: revert mapping YAML to previous commit, re-run last known good job.
Who this is for and prerequisites
Who this is for
- ETL Developers handing over pipelines to support/operations teams.
- Data engineers preparing on-call runbooks.
Prerequisites
- Basic knowledge of your pipeline scheduler and warehouse.
- Ability to read logs and run simple SQL queries.
- Access to observability tooling and deployment notes.
Learning path
- Map the surface area: list pipelines, schedules, owners, and critical tables.
- Document the top 5 incidents: one-page SOP each with steps, checks, and escalation.
- Add observability pointers: where to verify health and freshness fast.
- Define escalation: who, when, and by which channel for each severity.
- Run a dry handover: ask a peer to follow your notes to fix a simulated failure; refine gaps.
Common mistakes and self-check
- Too long, not actionable: If a new supporter can’t find the first action in 30 seconds, shorten and add headings.
- Missing contacts: Include on-call roles and backups with time windows.
- Secret leakage: Never paste credentials; point to the vault or secret manager path.
- No rollback: Always include how to safely revert changes.
- Outdated SLAs: Put date of last review; review quarterly or after major changes.
Self-check: Hand your notes to a teammate unfamiliar with the system and time how long they take to resolve a seeded failure. Target < 15 minutes.
Practical projects
- Create a 2-page onboarding pack for one pipeline: overview, runbook for two incidents, escalation matrix.
- Build a "first 15 minutes" checklist for on-call shifts (focusing on freshness and error hotspots).
- Design a rollback and replay guide for a single table with sample SQL validations.
Exercises
Complete these exercises, then take the quick test. Note: The quick test is available to everyone; only logged-in users get saved progress.
Exercise 1 — Draft a 1-page onboarding note
System: "Daily Orders ETL". Use the template below and keep it to 1 page.
Template
Purpose: ...
Schedule/SLA: ...
Key datasets: ...
Data flow (plain words): ...
Dashboards/logs: ...
Top 3 incidents + steps: ...
Escalation matrix: ...
Rollback plan: ...
Last reviewed: ...
- Purpose stated in one sentence
- Clear SLA/Freshness expectations
- 3 actionable incident steps included
- Escalation matrix covers off-hours
Exercise 2 — Triage flow + escalation matrix
Create a 6-step triage flow for a failed load job and an escalation matrix with at least two severities.
- Triage distinguishes source vs transform vs load
- Decision points have time thresholds
- Matrix lists primary and backup contacts
Mini challenge
Summarize your onboarding note as a 6-line handover message a new supporter reads at 2 a.m. Keep each line under 12 words and include purpose, schedule, where to check status, one common fix, and who to call.
See a sample 6-line message
Daily Orders ETL: loads app orders to warehouse. Runs 02:00 UTC; SLA 03:00. Check dashboard: Pipeline Status, Data Freshness. If missing export, notify Source On-Call. Retry load once for timeouts. Escalate Sev2: Data Eng On-Call.
Next steps
- Run a tabletop exercise with support using your notes.
- Collect feedback, update gaps, and timestamp the review date.
- Take the Quick Test to verify understanding.