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Job Duties/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.
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.
Benefits:
- The estimated salary for this role ranges from $150,000 – $175,000, along with an equity component.
- 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. Astronomer is a remote-first company.
