jobapplier

Sales Engineer (EMEA)

Astronomer

Skills

Required

  • Airflow
  • orchestration
  • Python
  • cloud-native data architectures
  • AWS / GCP / Azure
  • data engineering workflows
  • ELT/ETL
  • DAGs
  • Docker
  • BigQuery
  • Kubernetes

Join Astronomer, a leading company in the DataOps space. As a Sales Engineer, you will work closely with prospects and customers to deploy powerful data workflows and accelerate business outcomes. You will have the opportunity to influence product evolution and make a visible impact in the field of workflow orchestration and Apache Airflow. This remote-friendly position offers competitive benefits, including unlimited vacation, health insurance, and a yearly internal summit for all employees.

Responsibilities

  • Lead the technical sales motion in partnership with Account Executives, including discovery, demos, proof-of-concepts, and architecture discussions.
  • Understand customer pain points and translate them into high-impact technical solutions tied to business value.
  • Build and deliver tailored demos and POCs using Python, Airflow, and related tools, guiding customers through modern DataOps strategies.

Requirements

Strong communication skills across technical and business stakeholders

  • 3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.)
  • Familiarity with cloud-native data architectures (AWS, GCP, or Azure)
  • 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:
  • Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD
  • Python fluency, CLI comfort, and experience building with tools like Docker
  • Startup-friendly mindset: proactive, adaptable, fast-moving
  • Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar
  • Business level French language skills
  • Experience with observability, Kubernetes, or helping teams scale modern data stacks