Sales Engineer

Astronomer•San Francisco, CA

3d•Remote

About The Position

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.

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.

Nice To Haves

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).

Responsibilities

Design and implement proof-of-concept solutions that help customers tackle real data challenges, from concept to production.
Conduct demos and provide technical guidance to engineering teams, showing them how our platform can transform their workflows.
Contribute to the Apache Airflow community by creating technical content and best practices, positioning Astronomer as a thought leader in workflow orchestration.
Act as a liaison by gathering field insights and providing critical feedback to the Product team to shape the future of our platform.
Become an expert in Airflow, workflow orchestration, and the data engineering landscape as you collaborate across departments and work on impactful projects.