Solutions Engineer, Data Engineering

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

Description For Solutions Engineer, Data Engineering

Astronomer, the company behind Astro, an industry-leading DataOps platform, is seeking a Solutions Engineer to join their Global Services Delivery Team. This role combines technical expertise with customer-facing responsibilities, focusing on implementing Apache Airflow across diverse organizations from startups to Fortune 500 enterprises.

The position requires working in a hybrid model, with at least 3 days per week at the Hyderabad office. As a Solutions Engineer, you'll become an Airflow expert and trusted advisor, helping organizations optimize their data pipelines and implement best practices. You'll work directly with customers, providing education, guidance, and technical solutions while maintaining strong relationships with the Apache Airflow open-source community.

Key responsibilities include maintaining technical expertise in Airflow and Astronomer's platform, performing code refactoring assessments, collaborating on engineering solutions, and acting as a bridge between customers and the Product team. The ideal candidate brings 3-6 years of data engineering experience, strong Python skills, and familiarity with modern data stack technologies.

Astronomer offers a dynamic, globally-distributed environment where innovation and collaboration are valued. The company embraces diverse experiences and backgrounds, making it an ideal place for professionals who may have followed unconventional career paths. As part of a venture-backed team, you'll be at the forefront of the data industry, working to empower data teams and deliver mission-critical analytics, AI, and software solutions.

This role provides an excellent opportunity to work with cutting-edge technology while making a significant impact on how organizations handle their data workflows. The position combines technical depth with customer interaction, making it perfect for those who enjoy both solving complex problems and helping others succeed.

Last updated 3 days ago

Responsibilities For Solutions Engineer, Data Engineering

  • Maintain and improve technical expertise in Airflow and Astronomer's managed Airflow Platform
  • Work with customers to educate and guide them regarding Airflow best practices
  • Perform Airflow code refactoring assessments
  • Collaborate on designing, prototyping, and implementing engineering solutions
  • Act as a liaison collecting feedback and identifying improvements
  • Review and optimize customer data workflows and Airflow system configurations

Requirements For Solutions Engineer, Data Engineering

Python
  • 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 and data transformations
  • Experience with products like Cloudera, Databricks, Snowflake, DBT, AWS, Azure, Google Cloud
  • Strong verbal and written communication skills
  • Data-driven mindset and customer-focused attitude

Interested in this job?

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