Data Engineering Solutions Expert

1 day ago


Hyderabad City Taluka, Pakistan Astronomer Full time

Astronomer is a rapidly growing venture-backed team of learners, innovators and collaborators. Our mission is to empower data teams to bring mission-critical analytics, AI, and software to life.

About this role:

As a Solutions Engineer, you will be part of the Global Services Delivery Team and will be involved in the delivery of various use cases in which Airflow is implemented across our customers. These organizations range from seed-stage startups to Fortune 500 enterprises.

In this role, you will come to have a deep understanding of both Apache Airflow and Astronomer Products. Every Solutions Engineer will grow to become an Airflow expert and a trusted advisor to organizations looking to put their data in motion.

Hybrid Work Model: For this role, you will work at least 3 days per week at our Office in Hyderabad while delivering a seamless experience that is digitally and physically connected.

What You Get To Do:
  • You'll speak to and deliver solutions around Apache Airflow and the Astronomer platform. You'll interact with customers and partners to ensure successful Airflow implementation post-sales. You'll be a trusted advisor and help architect data pipelines across all types of environments and use cases.

  • You'll maintain and continuously improve your technical expertise. You will become a trusted expert in both Airflow and Astronomer's managed Airflow Platform. You stay up to date with the latest releases and features while focusing on those that have a greater impact on customers.

  • You'll work with customers to educate and guide them regarding Airflow best practices. Perform Airflow code refactoring assessments as a trusted expert for new and existing customers.

  • You'll collaborate with team members to design, prototype, and implement engineering solutions for internal and external use.

  • You'll act as a liaison by collecting feedback and identifying Airflow/Astronomer improvements through client interactions and relaying these recommendations back to the Product team.



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