Lead architecture reviews, workshops, and design sessions with engineering teams.
Design end-to-end platform architectures using Airflow with cloud infra.
Review delivery work for scalability, observability, security, and ops.
Diagnose issues, guide deployments, migrations, and platform modernization.
Build reusable tools, reference architectures, and best practices.
Travel: Mostly remote; occasional travel for conferences.

🎯 Requirements

8+ years in data engineering or platform architecture in production.
Strong Python and SQL skills.
Deep experience designing and operating Apache Airflow in large-scale deployments.
Experience designing cloud-native data architectures on AWS, Azure, or GCP.
Familiarity with CI/CD, infrastructure as code, Docker, and Kubernetes.
Experience leading technical engagements and working with executive stakeholders.

🎁 Benefits

Equity component included.
Comprehensive benefits package.
Remote-friendly culture.

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