Managed Apache Airflow orchestration platform for data and AI pipelines
Astronomer builds Astro, a managed orchestration platform on Apache Airflow, running across AWS, Azure, GCP and Kubernetes with Go and Python in the core stack. Hiring is accelerating and splits almost evenly between senior engineering and enterprise sales, pointing to a push on both platform reliability and new enterprise logos. Active work on an observability product and Airflow-based monitoring shows the company extending beyond orchestration into pipeline visibility.
Astronomer, founded in 2018 and headquartered in New York, develops Astro, a commercial orchestration platform built on Apache Airflow. The product helps data teams schedule, run and monitor pipelines that feed analytics, AI and data-driven applications. The company sells to enterprises and integrates with data tools such as Snowflake, Databricks, Fivetran and BigQuery. It is privately held with 201–500 employees and hires across the United States, United Kingdom, India and Germany.
Astronomer's stack centers on Apache Airflow and Astro, built with Python, Go and Node.js on Kubernetes and Docker across AWS, Azure and GCP, with PostgreSQL, Splunk and Elasticsearch plus Salesforce, HubSpot and Marketo for go-to-market.
Yes. Hiring is accelerating, led by engineering and sales, with a strong tilt toward senior roles. Openings span the United States, United Kingdom, India and Germany.
Current work includes Astro platform development, a new observability product, Airflow-based internal monitoring and alerting, new Airflow features and infrastructure, open-source Airflow contributions and customer proof-of-concept solutions.
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Astronomer's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.