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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 power data-driven applications. Trusted by more than 900 of the world’s leading enterprises, including Datadog, American Express, Expedia, Adobe, Autodesk, Together AI, and more, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
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.
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Astronomer is a tech company providing the Astro platform, a data orchestration solution built on open-source Apache Airflow, helping businesses manage complex data pipelines for analytics and AI by simplifying building, scheduling, and monitoring data workflows. They offer an enterprise-grade, managed platform for Airflow, allowing companies to run data tasks reliably at scale, focusing on making data teams more efficient and bringing mission-critical data products to life.