Full-Time Staff Architect

Staff Architect

About this role: As a Staff Architect, you will be a key member of our professional services team and work directly with Astronomer’s most important customers, assisting them in a technical leadership capacity with their data ecosystem modernization and DataOps transformation initiatives.

In this role, you will be exposed to a wide variety of data processing use cases, primarily orchestrated by Apache Airflow.

What you get to do:

• Work directly with Astronomer customers, acting as technical lead for high-stakes professional services engagements
• Participate in pre-sales motions where a specialized technical solution is required
• Build architecture, data flow, and 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
• Collaborate to build reusable assets, automation tools, and documented best practices
• Interact with Product and Engineering stakeholders to channel product feedback and requirements discussions
• Work with Global Service Delivery team members to ensure clients are realizing value in their Airflow and Astronomer journeys
• Establish strong relationships with key customer stakeholders

What you bring to the role:

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

Bonus points if you have:

• 7+ 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
• Kubernetes experience, either on-premise or in the cloud
• Enterprise data experience in regulated environments

What is the last date for applying to the job?

Which countries are accepted for this remote job?