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 content and best practices, positioning Astronomer as a thought leader in workflow orchestration. Influence Product Direction : Act as a liaison by gathering field insights and providing critical feedback to the Product team to shape the future of our platform. Develop and Grow : Become an expert in Airflow, workflow orchestration, and the data engineering landscape as you collaborate across departments and work on impactful projects. What you bring to the role: Data Engineering Know-How: Familiarity with core data engineering concepts including orchestration, ELT, Git, and Role-Based Access Control (