AWS MWAA Orchestration with Airflow 3.0 Event-Driven Cross-Account Workflows

AWS is detailing a new method for orchestrating workflows across separate Amazon MWAA environments using Apache Airflow 3.0's event-driven capabilities. This approach replaces traditional polling mechanisms with Asset Watchers and Amazon SQS integration, reducing orchestration latency from minutes to seconds and improving message reliability by utilizing SQS as a durable message broker.

The Apache Airflow 3.0 release, now available on Amazon MWAA 3.0, introduces event-driven cross-account orchestration. This builds upon the Airflow 2.4 Datasets feature by enabling communication between distinct MWAA environments, addressing a prior coordination gap for data engineering teams managing workflows across multiple AWS accounts or business units.

Key advantages include eliminating polling overhead with Asset Watchers, achieving near real-time DAG triggering (seconds instead of minutes), maintaining independent and scalable MWAA environments, ensuring reliable message delivery via Amazon SQS, and facilitating clear team ownership. The solution also includes an agent skill for faster, best-practice-driven DAG generation.

The described architecture involves a producer MWAA environment publishing asset events to an SQS queue, which then acts as a message broker for a consumer MWAA environment. The consumer environment uses Asset Watchers to monitor the SQS queue and automatically trigger downstream DAGs upon event arrival, creating a decoupled and responsive cross-account workflow.

Implementing this solution requires two Amazon MWAA environments running Airflow 3.0+, enabled triggerer components, intermediate knowledge of IAM policies and Airflow DAG authoring, Python experience, a configured Amazon SQS queue with cross-account permissions, and the AWS CLI. A GitHub repository is provided with code samples for deployment.