Astronomer Architect - Apache Airflow

Must-Have Skills: Apache Airflow Architecture, Administration & Production Support Airflow on Kubernetes Airflow DAG Design, Testing & Optimization Python Development, Custom Operators & Hooks Kubernetes, Helm Charts & Container Orchestration Terraform & Infrastructure as Code GitOps, Argo CD / Flux & CI/CD Pipelines Airflow High Availability, Upgrades & Performance Tuning Observability Tools: Prometheus, Grafana, StatsD & Centralized Logging Workflow Reliability, Idempotency, Retries & Backfills Dynamic Task Mapping, Deferrable Operators & Sensors AWS / Azure / GCP Cloud Platforms Data Platforms: Snowflake, BigQuery, Redshift, Databricks, Spark, EMR / Dataproc Security: SSO / OIDC, RBAC, Secrets Management & IAM Incident Management, Root Cause Analysis & Runbook Automation Enterprise-Scale Workflow Orchestration & Platform Engineering Preferred Experience: Airflow Migration and Multi-Scheduler Ecosystems OpenLineage, Marquez & Data Quality Frameworks dbt Core / Cloud Orchestration Multi-Region High Availability, Disaster Recovery & Backup Strategies Cost Optimization and Scheduler / Worker Capacity Planning Internal Developer Platforms and Self-Service Pipeline Tooling Apache Airflow Contributions and Airflow 2.7+ Features Policy as Code: OPA, Gatekeeper & Conftest Strong Cross-Functional Collaboration, Technical Leadership & Mentoring Education: Bachelor’s Degree in Computer Science or a related field.