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Path 03 · Senior+

Build the platformother DEs build on.

Multi-tenant Airflow, cost attribution, self-service tooling, SLAs. The work that gets you promoted to staff.

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After this path

What you'll actually be able to do.

Not "you'll know about Airflow." What you'll ship, debug, and defend in an interview.

You’ll be the person who

  • Design a multi-tenant Airflow platform from scratch
  • Attribute cost per team and make it visible
  • Build self-service tooling that analysts don't hate
  • Run incident response across 50+ pipelines
  • Get promoted to staff within 2 years

And the market pays you for

Run multi-tenantNot single-team Airflow
Attribute costPer team, per DAG
Ship self-serviceThat actually works
Own SLAsAcross the org
System architecture

The system you'll build by the end.

A production reference architecture — not a toy demo. Every node maps to a course or project in this path.

01 · Control
Terraform
GitHub Actions
02 · Platform
Airflow on K8s
Spark ops
03 · Tenants
Team A
Team B
Team C
04 · Observe
Datadog
Cost attr.
Lineage
05 · Govern
IAM
Secrets
RBAC
Orchestration: Airflow + K8sEvery node → a course + project
Your path

From week one to capstone.

A realistic 5-stage timeline. Go faster if you already have pieces; slower if you're brand new.

  1. 01Week 1–4

    Batch refresher

    Review Airflow/dbt at depth

  2. 02Week 5–10

    Streaming depth

    Kafka, Flink, exactly-once

  3. 03Week 11–16

    Platform core

    Terraform, K8s, multi-tenant Airflow

  4. 04Week 17–21

    Cost + observability

    Attribution, tracing, SLO dashboards

  5. 05Week 22–24

    Ship capstone

    Multi-tenant platform with RBAC + cost

Capstone project

One project, endlessly talkable.

Every path ends with a flagship capstone you'll ship, write up, and walk through in every interview loop.

P12 · CapstoneCI/CD data platform

The capstone that gets you to staff.

AirflowKubernetesTerraformVaultDatadog

What you’ll ship

  • 01Airflow on K8s with per-team namespaces
  • 02Cost attribution via resource tagging
  • 03SLA dashboards per team per DAG
  • 04RBAC + secrets mgmt via Vault
  • 05Self-service DAG onboarding in <1 hour
Proof

Questions you'll confidently answer.

These are real interview questions for Data Platform Engineer roles. If you can answer all four with a story from your capstone, you're ready.

Q1

How would you attribute cost across 12 teams sharing one warehouse?

Q2

Walk me through on-call for a multi-tenant Airflow

Q3

Design the migration path from single-team to platform

Q4

How do you make self-service tooling analysts actually use?

Why this matters: Most courses let you hide behind passive video-watching. ai-de projects force you into the exact failure modes interviewers probe for — so when you sit in the interview, you’ve already lived the answer.
Skills · syllabus

Stack you'll learn.

Not memorized — operated. Each tool is taught inside a project, not an isolated lecture.

KubernetesTerraformAirflowObservabilityIAMCost toolingVaultDatadogSRE
Your move

Start building your first system — today.

Module 01 is free. No card. Ship something real this weekend.

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