Data Platform Engineer

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io. About this role: As a Data Platform Engineer at Astronomer, you’ll be a key partner to our clients, guiding them in deploying powerful data workflows to accelerate their business outcomes. You'll have the chance to work with cutting-edge technology, help customers solve complex data challenges, and influence our product’s evolution through client feedback. This role is ideal for someone who wants to make a visible impact while growing into an expert in workflow orchestration and Apache Airflow. What you get do: Solve Real-World Problems: Design and implement proof-of-concept solutions that help customers tackle real data challenges, from concept to production. Be a Trusted Advisor: Conduct demos and provide technical guidance to engineering teams, showing them how our platform can transform their workflows. Drive Community Impact: Contribute to the Apache Airflow community by creating technical conten [... source excerpt omitted ...] y with core data engineering concepts including orchestration, ELT, Git, and Role-Based Access Control (RBAC), with hands-on experience or working knowledge of Apache Airflow in a customer environment. Experience and Expertise: 2+ years in a Sales Engineering, Solutions Engineering, Consulting or similar role within the data space, ideally with experience in modern data tools like Snowflake, Databricks, Fivetran, or Tableau. Effective Communication: Strong verbal and written communication skills to simplify complex technical concepts for diverse audiences. Curiosity and Customer Empathy: A genuine desire to understand customer needs, patience, and empathy to support them throu [... source excerpt omitted ...] stry. Bonus points if you have: Hands-on Python scripting skills for data pipeline support. Experience with open-source data tools. Background in designing data workflows in a production environment. Customer-facing experience in a technical or consultative role. Experience working with Command Line Interfaces (CLI). The estimated total compensation for this role ranges from $200,000 - $250,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications. #LI-Remote At Astron