- +3
- +11
- United States
About
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 700 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.Your background may be unconventional; as long as you have the essential qualifications, we encourage you to apply. While having "bonus" qualifications makes for a strong candidate, Astronomer values diverse experiences. Many of us at Astronomer haven't followed traditional career paths, and we welcome it if yours hasn't either.About this role:As a customer-facing Cloud Solutions Architect (Infrastructure), you will join our field team to deliver world-class technical solutions to customer and prospect business problems. In this role, you’ll engage with a diverse set of use cases where Apache Airflow plays a central role in the overall solution architecture. Your work will directly enable customers to scale their operations and achieve their goals by adopting Astronomer’s products.This role is a pre-sales oriented role and as such will involve up to 20% travel to support business and customer engagements.You will support customers primarily located in the PST and ANZ time zones. As such, comfort and flexibility in working within these time zones are essential to ensure effective collaboration and customer success.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 journeysAct 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:7 years of experience in a data infrastructure role or equivalent5 years in a customer-facing roleStrong Kubernetes experience (GKE/EKS/AKS or OpenShift preferred)Proficiency in Python/Go.Good understanding of network complexities and architecturesVersatile Terminal and CLI user, as this will be a hands-on role, and frequently without access to a GUIExperience setting up and troubleshooting distributed systemsExperience with complex SaaS infrastructure operating at scaleExperience with at least one major cloud provider API/toolingCloud-native data architecture experienceStrong customer-facing skillsStrong oral and written communication skills - should be able to explain complex technical issues to non-technical folks succinctlyEmbodiment of our company values: Empathy, Inclusion, Curiosity, Grit, Agility, and Transparency.Bonus points if you have:Prior experience using or administering Apache Airflow, Autosys, UC4, Temporal, Dagster, or PrefectEnterprise data experience with or in regulated environmentsExperience with scripting/automation, specifically infra (Pulumi, Terraform, Ansible, etc.)Experience with ElasticSearch/Prometheus/VaultThe estimated total compensation for this role ranges from $220,000 - $250,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.#LI-FulltimeAt 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.Astronomer is a remote-first company. #J-18808-Ljbffr
Nice-to-have skills
- Kubernetes
- OpenShift
- Python
- Go
- Scripting
- Automation
- Terraform
- Ansible
- Elasticsearch
- Prometheus
- Vault
Work experience
- Solutions Architect
- Cloud Architect
- Data Infrastructure
Languages
- English