Astronomer provides Astro, a DataOps platform and Airflow-as-a-Service that enables teams to build, run, observe Apache Airflow pipelines with lineage, data quality, dbt integration, governance and Kubernetes-native deployments.
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io http://www.astronomer.io. ABOUT THIS ROLE: As a Field Engineer, SWAT, you will join our field team to deliver world-class technical solutions to customer and prospect business problems. In this role, you will be exposed to a wide range of use cases where Apache Airflow sits at the center of the solution. The impacts you will make will enable customers to rapidly grow their businesses by adopting Astronomer products to meet their goals. WHAT YOU GET TO DO: - Implement Astronomer’s software and services in the core of some of the world’s largest businesses and organizations. - Guide our largest and most complex customers in their Apache Airflow journeys - Act as the core interface between the Customer, Sales, and Product to ensure that the broader solution around the platform is solving pain points and bringing value to customers. WHAT YOU BRING TO THE ROLE: - Strong Kubernetes experience (GKE/EKS/AKS or OpenShift preferred) - Expertise in at least one programming language. - Good understanding of network complexities and architectures - Versatile Terminal and CLI user, this will be a hands-on role, frequently without access to a GUI - Experience setting up and troubleshooting distributed systems - Experience with complex SaaS infrastructure operating at scale - Experience with at least one major cloud provider API/tooling - Ability to read code - Work effectively with git - Cloud-native data architecture experience - Strong customer facing skills - Strong oral and written communications skills - should be able to explain complex technical issues to non-technical folks succinctly BONUS POINTS IF YOU HAVE: - Prior experience using or administering Apache Airflow, Autosys, UC4, Temporal, Dagster, or Prefect - Proficiency in Python/Go. - Enterprise data experience with or in regulated environments - Experience with scripting/automation specifically infra (Pulumi, Terraform, Ansible, etc.) - 5+ years experience in a data engineering role or equivalent - 3+ years in a customer-facing role - Experience with ElasticSearch/Prometheus/Vault #LI-Hybrid At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.