Presales Engineer, Data Engineering (APAC)

Industry-leading data orchestration and observability platform provider powered by Airflow, helping data teams build reliable data products.
Data
Mid-Level Software Engineer
Hybrid
4+ years of experience
Enterprise SaaS · AI

Description For Presales Engineer, Data Engineering (APAC)

Astronomer is seeking a Presales Engineer for their APAC region to join their globally-distributed team. This role focuses on being a key technical partner to clients, helping them implement powerful data workflows using Astro, their industry-leading DataOps platform powered by Airflow.

The position requires working in a hybrid model with at least 3 days per week at their Hyderabad office, covering Asia Pacific customers with work timings from 7 am IST to 4 pm IST. The ideal candidate will have 4-7 years of experience in Sales Engineering or similar roles within the data space.

Key responsibilities include designing proof-of-concept solutions, conducting technical demos, providing guidance to engineering teams, contributing to the Apache Airflow community, and gathering field insights for product development. The role requires strong data engineering knowledge, excellent communication skills, and genuine customer empathy.

Astronomer offers an inclusive work environment as a remote-first company, valuing diversity and equal opportunity. They're a venture-backed team focused on empowering data teams to bring mission-critical analytics, AI, and software to life. The platform, Astro, accelerates building reliable data products that unlock insights, unleash AI value, and drive data-driven applications.

The ideal candidate should have experience with modern data tools, core data engineering concepts, and strong customer-facing experience. Additional valuable skills include Python scripting, Apache Airflow experience, and familiarity with infrastructure tools like Docker and Kubernetes.

This role presents an excellent opportunity for someone passionate about data engineering who wants to make a visible impact while becoming an expert in workflow orchestration and Apache Airflow.

Last updated a day ago

Responsibilities For Presales Engineer, Data Engineering (APAC)

  • Design and implement proof-of-concept solutions for customer data challenges
  • Conduct demos and provide technical guidance to engineering teams
  • Contribute to Apache Airflow community through technical content creation
  • Gather field insights and provide feedback to Product team
  • Act as a trusted advisor for customers implementing workflow solutions

Requirements For Presales Engineer, Data Engineering (APAC)

Python
Kubernetes
  • 4-7 years experience in Sales Engineering, Solutions Engineering, Consulting, or similar roles within the data space
  • Familiarity with core data engineering concepts (orchestration, ELT/ETL, Git, RBAC)
  • Strong verbal and written communication skills
  • 3+ years of Customer-facing experience in a technical or consultative role
  • Experience with modern data tools like Snowflake, Databricks, Fivetran, Tableau, or Confluent

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