Job Description

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. To learn more, visit www.astronomer.io.

🚀 About this 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. 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.

✈️ Location: The position is based in London but requires regular travel to France, aligned with business needs.

🎯 What You Get to Do:

• 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

✅ What you bring to the role:

You’re technically sharp, customer-obsessed, 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 would possess:

• Business level French language 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
• 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

⭐️ Bonus points if you have:

• Experience with observability, Kubernetes, or helping teams scale modern data stacks.

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

At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.