Apache Airflow–powered data orchestration platform for enterprises
Astronomer builds Astro, a managed orchestration platform centered on Apache Airflow, serving over 900 enterprises. The stack reveals a data-centric business: Snowflake, Databricks, dbt, and BigQuery dominate the analytics layer, while Kubernetes and multi-cloud infrastructure (AWS, Azure, GCP) signal operational scale. Current hiring is sales-led (8 roles) with strong engineering velocity (7 roles, mostly senior/staff), and active projects span observability, IDE tooling, and community contribution—indicating a shift toward making data pipelines more visible and developer-friendly as scale challenges (Kubernetes, observability, search) become acute.
Notable leadership hires: Partnerships Director
Astronomer is a data orchestration company built on Apache Airflow, the open-source workflow scheduler. The product, Astro, is a managed platform that helps enterprises build, monitor, and scale data pipelines at mission-critical scale. Customers include over 900 large organizations using Astro to orchestrate analytics, AI model pipelines, and data-driven applications. The company operates across six countries (US, Canada, UK, Ireland, India, Peru) with engineering concentrated in core platform development alongside growing sales capacity. Key technical challenges include scaling Kubernetes clusters, building real-time observability into pipelines, and improving developer experience across complex data stacks.
Astronomer uses Apache Airflow, Snowflake, Databricks, Fivetran, dbt, BigQuery, Kubernetes, AWS/Azure/GCP, Python, Go, and SQL. The stack reflects a data orchestration business with strong cloud infrastructure and analytics tooling.
Current projects include IDE product development, observability platform architecture, internal monitoring systems, context layer features, Kubernetes cluster scaling, and active contribution to the Apache Airflow open-source repository.
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