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As a Sales 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.
Job Responsibility:
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:
Data Engineering Know-How: 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
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 through challenges
Drive to Innovate: Eagerness to learn and experiment with new technical concepts, tools, and approaches to stay ahead in the data industry
Nice to 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)