Astronomer is a company that empowers data teams to enhance their software and analytics capabilities through its unified DataOps platform. As a Sales Engineer, you will guide clients in deploying data workflows and influence product development by providing feedback from customer interactions.
Responsibilities:
- 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
Requirements:
- Familiarity 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
- 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
- Strong verbal and written communication skills to simplify complex technical concepts for diverse audiences
- A genuine desire to understand customer needs, patience, and empathy to support them through challenges
- Eagerness to learn and experiment with new technical concepts, tools, and approaches to stay ahead in the data industry
- 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)