Solutions Engineer, Data Engineering

Industry-leading, orchestration-first DataOps platform provider powered by Airflow, helping data teams build reliable data products.
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience
Enterprise SaaS · AI

Description For Solutions Engineer, Data Engineering

Astronomer is seeking a Solutions Engineer to join their Global Services Delivery Team, focusing on implementing Apache Airflow across diverse customer environments. This role combines technical expertise with customer-facing responsibilities, requiring deep knowledge of both Apache Airflow and Astronomer Products. The position offers an opportunity to work with organizations ranging from startups to Fortune 500 enterprises, helping them optimize their data journey through Airflow implementation.

The ideal candidate will become an Airflow expert and trusted advisor, working in a hybrid model with at least 3 days per week at the Hyderabad office. They will be responsible for delivering solutions around Apache Airflow and the Astronomer platform, architecting data pipelines, and engaging with the Apache Airflow open-source community.

Astronomer offers a unique opportunity to work with cutting-edge data orchestration technology while being part of a globally-distributed, venture-backed team. The company values diverse experiences and backgrounds, welcoming candidates with unconventional career paths. As a Solutions Engineer, you'll be at the forefront of the industry, helping organizations put their data in motion while working with a modern data stack and contributing to customer success.

The role combines technical depth in data engineering with customer-facing skills, requiring both strong technical capabilities in areas like ETL/ELT pipelines, Python programming, and system optimization, as well as excellent communication and problem-solving abilities. This position offers growth opportunities through continuous learning and interaction with diverse technical environments and use cases.

Last updated 2 months ago

Responsibilities For Solutions Engineer, Data Engineering

  • Maintain and improve technical expertise in Airflow and Astronomer's platform
  • Educate and guide customers on Airflow best practices
  • Perform Airflow code refactoring assessments
  • Design, prototype, and implement engineering solutions
  • Act as liaison between clients and Product team
  • Review and optimize customer data workflows and Airflow configurations

Requirements For Solutions Engineer, Data Engineering

Python
Kubernetes
  • 3-6 years of data-engineering experience with Apache Airflow in production environments
  • Experience creating DAGs, writing Python, and building Airflow custom operators and hooks
  • Knowledge of ETL/ELT pipelines, data transformations, and pipeline optimization
  • Experience with products like Cloudera, Databricks, Snowflake, DBT, AWS, Azure, Google Cloud
  • Strong verbal and written communication skills
  • Great prioritization skills
  • Data-driven mindset

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