Astronomer is hiring a
Resident Solutions Architect

Summary

The job is for a Resident Solutions Architect at Astronomer, a globally-distributed venture-backed company. The role involves working with customers to deliver technical solutions using Apache Airflow and Astronomer products, helping guide customers in their Apache Airflow journeys, reviewing and optimizing customer data pipelines, building architecture diagrams, providing reference implementations, keeping up with the latest features, collaborating to build reusable assets, automation tools, and documented best practices, interacting with Product and Engineering teams, and working with Customer Success team members.

Requirements

• Experience with Apache Airflow in production environments
• Experience in designing and implementing ETL, Data Warehousing, and ML/AI use cases
• Proficiency in Python
• Knowledge of cloud-native data architecture
• Demonstrated technical leadership on team projects
• Strong oral and written communication skills
• Strong customer empathy
• Willingness to learn new technologies and build reference implementations

Responsibilities

• Help guide our customers in their Apache Airflow journeys, including identifying new use cases and onboarding new teams
• Review, optimize, and tune customer data pipelines
• Build architecture, data flow, and customer operational diagrams and documents
• Provide reference implementations of various activities, including composing data pipelines in Airflow, implementing new Airflow features, or integrating Airflow with 3rd party solutions
• Keep up with the latest Astro and Airflow features, in order to better advise customers on impactful improvements they can make
• Collaborate to build reusable assets, automation tools, and documented best practices
• Interact with Product and Engineering teams to channel product feedback and requirements discussions
• Work with Customer Success team members to ensure clients are realizing value in their Airflow and Astronomer journeys

Preferred Qualifications

• 5+ years experience in a data engineering or similar role
• 2+ years in a customer-facing role
• Consulting experience
• Experience in migrating workflows from legacy schedulers (Control-M, Autosys, Oozie, Cron, etc.) to Apache Airflow
• Snowflake experience
• Databricks or Spark experience
• Experience working with containers
• SQL experience
• Kubernetes experience, either on-premise or in the cloud
• Enterprise data experience in regulated environments

Benefits

The estimated salary for this role ranges from $150,000 - $175,000, along with an equity component