Sales Engineer

About the role

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. We're expanding our Sales Engineering team to help data teams orchestrate, observe, and optimize their data pipelines with confidence.

The work location for this role is based in our New York office and follows a hybrid work model. The position requires regional travel of approximately 25%, aligned with business needs.

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

Requirements

• You’re technically sharp, customer-oriented, and energized by solving real problems with data teams.
• We’re not looking for a perfect checklist match - but here’s what a strong candidate might bring:
• 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

Qualifications

• Bonus Points If You Have Experience with observability, Kubernetes, or helping teams scale modern data stacks.

Skills

• 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

Benefits

• Why Astronomer?
• We’re defining the DataOps layer of the modern data stack - not just orchestration
• Airflow is the standard - we’re making it enterprise-ready, secure, and scalable
• Backed by top-tier investors and trusted by data-forward organizations
• You’ll work with a team that values clarity, ownership, and high standards - without ego

Pay

The estimated total compensation for this role ranges from $200,000 - $250,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.

Schedule

The position requires regional travel of approximately 25%, aligned with business needs.