Solutions Engineer, Data Engineering

Industry-leading, orchestration-first DataOps platform provider, powering Astro platform for data teams using Apache Airflow.
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience
Enterprise SaaS · AI

Description For Solutions Engineer, Data Engineering

Astronomer, the company behind Astro, is seeking a Solutions Engineer to join their Global Services Delivery Team. This role combines technical expertise with customer-facing responsibilities, focusing on Apache Airflow implementations across diverse organizations from startups to Fortune 500 enterprises. The position requires deep understanding of both Apache Airflow and Astronomer Products, with opportunities to engage with the Apache Airflow open-source community.

The role involves 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 both technical and business stakeholders.

Key responsibilities include maintaining technical expertise in Airflow, 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 values diverse experiences and backgrounds, welcoming candidates with unconventional career paths. The company offers a collaborative, globally-distributed environment focused on innovation and learning. This role provides an excellent opportunity to work with cutting-edge data technologies while making a significant impact on customer success.

Last updated a day 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
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
  • Experience with ETL/ELT pipelines and data transformations
  • Experience with related products like Cloudera, Databricks, Snowflake, DBT, AWS, Azure, Google Cloud
  • Strong verbal and written communication skills
  • Empathetic, driven and team-oriented
  • Great prioritization skills

Benefits For Solutions Engineer, Data Engineering

  • Remote-first company culture
  • Flexible hybrid work model

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