Data pipelines have dependencies. Table B depends on Table A. Reports depend on both. Running jobs manually doesn't scale. One failure cascades into chaos.
Orchestrators solve this by managing scheduling, dependencies, retries, and monitoring in one place. Apache Airflow dominates the market. You'll see it in most data engineering interviews.
I'll cover Airflow deeply, plus modern alternatives like Dagster and Prefect.