Sales Engineer
About The Position
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. Astronomer is on a mission to make DataOps a first-class discipline in every modern data organization. As the driving force behind Apache Airflow, we're powering mission-critical pipelines at scale for companies like Condé Nast, Rappi, Sonos, and more. As a Sales Engineer at Astronomer, you’ll be a key partner to our prospects and customers, guiding them in deploying powerful data workflows to accelerate their business outcomes. You'll work with cutting-edge technology, help customers solve complex data challenges, and have a voice in influencing 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
- Python fluency, CLI comfort, and experience building with tools like Docker
- Familiarity with cloud-native data architectures (AWS, GCP, or Azure)
- Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD
- Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar
- 3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.)
- Strong communication skills across technical and business stakeholders
- Startup-friendly mindset: proactive, adaptable, fast-moving
Nice To Haves
- Experience with observability, Kubernetes, or helping teams scale modern data stacks.
Responsibilities
- Lead the technical sales motion in partnership with Account Executives - discovery, demos, proof-of-concepts, and architecture discussions
- Understand customer pain and translate it into high-impact technical solutions tied to business value
- Build and deliver tailored demos and POCs using Python, Airflow, and related tools
- Guide customers through modern DataOps strategies - from orchestration to observability and automation
- Influence product feedback loops, collaborate cross-functionally, and contribute to go-to-market strategy
Benefits
- equity component
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
