Presales Engineer, Data Engineering (APAC)

Industry-leading data orchestration and observability platform provider powered by Airflow, helping 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, creator of Astro, is seeking a Presales Engineer to join their globally-distributed team. This role focuses on the APAC region, working from their Hyderabad office in a hybrid model (3 days/week in office). The position involves being a crucial technical advisor to clients, helping them implement effective data workflows using Apache Airflow.

The ideal candidate will work during APAC hours (7 am IST to 4 pm IST) and will be responsible for designing proof-of-concept solutions, conducting technical demos, and contributing to the Apache Airflow community. This role combines technical expertise with customer-facing responsibilities, requiring both strong data engineering knowledge and excellent communication skills.

As a Presales Engineer, you'll be at the forefront of data orchestration technology, working with cutting-edge tools and helping shape the product's future through customer feedback. The role offers significant growth opportunities in workflow orchestration and Apache Airflow expertise.

Astronomer values diverse experiences and welcomes candidates from unconventional backgrounds. The company is venture-backed and focused on empowering data teams to bring mission-critical analytics, AI, and software to life. They offer a flexible work environment and the chance to work with industry-leading technology.

The position requires 4-7 years of relevant experience, strong technical knowledge in data engineering concepts, and proven customer-facing abilities. Additional skills in Python scripting, Apache Airflow, Docker, and Kubernetes are advantageous but not mandatory. This is an excellent opportunity for someone passionate about data engineering who wants to make a visible impact while growing their expertise in workflow orchestration.

Last updated 9 days 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 by creating technical content
  • Gather field insights and provide feedback to Product team
  • Work with customers to transform their workflows

Requirements For Presales Engineer, Data Engineering (APAC)

Python
Kubernetes
  • 4 to 7 years experience in Sales Engineering, Solutions Engineering, or Consulting in 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 role
  • Understanding of modern data tools like Snowflake, Databricks, Fivetran, Tableau, or Confluent

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