Description
The Airflow Platform Engineer will design, develop, and optimize Apache Airflow DAGs for enterprise data workflows, including DBT pipelines, while supporting platform operations on Azure Kubernetes Service. The role covers troubleshooting task execution, scheduling, Kubernetes, networking, storage, RBAC, CI/CD, monitoring, and alerting, and provides reusable templates and onboarding support to enable developer self-service. It requires 4–6 years of experience, strong Airflow and Python expertise, Kubernetes knowledge, and familiarity with Azure or other cloud platforms.
