Solutions Engineer - Data Engineering

Astronomer, Inc.

Job Overview

Location

Hyderabad

Job Type

Full-time

Full Job Description

📋 Description

• Serve as a Solutions Engineer on the Global Services Delivery Team, implementing Apache Airflow and Astronomer’s managed Airflow platform for enterprise customers ranging from startups to Fortune 500 companies.
• Act as a trusted technical advisor to customers, guiding the design, architecture, and implementation of scalable, production-grade data pipelines using Apache Airflow in alignment with industry best practices.
• Deliver post-sales technical support by educating customers on Airflow best practices, conducting code refactoring assessments, and optimizing existing DAGs for performance, reliability, and maintainability.
• Collaborate cross-functionally with engineering and product teams to prototype, design, and implement internal and external engineering solutions that enhance customer outcomes and product capabilities.
• Review and optimize customer data workflows, Airflow system configurations, and pipeline performance across diverse cloud environments including AWS, Azure, and Google Cloud.
• Engage directly with customers through Slack, email, virtual meetings, pair programming sessions, and knowledge transfer workshops to ensure seamless onboarding and ongoing success with the Astronomer platform.
• Collect and synthesize customer feedback on Airflow and Astronomer product usage, translating real-world use cases into actionable product improvement recommendations for the product team.
• Maintain and continuously expand deep technical expertise in Apache Airflow, including staying current with new releases, features, and community-driven innovations that deliver maximum customer impact.
• Build and customize Airflow operators and hooks in Python to extend platform functionality and address unique customer requirements.
• Support customers in implementing ETL/ELT pipelines with modern data stack tools such as DBT, Snowflake, Databricks, and Cloudera, ensuring alignment with their data architecture and scalability goals.
• Act as a liaison between customers and Astronomer’s internal teams, ensuring smooth communication of technical needs, challenges, and success metrics.
• Contribute to the broader Apache Airflow open-source community by participating in discussions, sharing implementation insights, and advancing platform maturity through community collaboration.
• Work in a hybrid model, spending at least three days per week in the Hyderabad office while maintaining strong digital engagement with global customers and teams.
• Prioritize and execute multiple customer-facing initiatives simultaneously with precision, adaptability, and a strong focus on delivering exceptional customer experiences.
• Maintain a highly data-driven approach to problem-solving, using performance metrics, logs, and observability tools to validate pipeline efficiency and drive continuous improvement.

🎯 Requirements

• 3-5 years of data-engineering experience, ideally working with Apache Airflow in production environments
• Experience creating DAGs, writing Python, and building Airflow custom operators and hooks
• Experience with related market products such as Cloudera, Databricks, Snowflake, DBT, AWS, Azure, Google Cloud, ETL Technologies or other analytics solutions
• Empathetic, driven and team-oriented with great prioritization skills and ability to execute on customer-facing activities
• Strong verbal and written communication skills for interacting with customers via Slack, email, knowledge transfer, and pair programming sessions
• Highly data-driven and intrigued by the challenge of delivering an awesome Astronomer experience to hundreds of customers

🏖️ Benefits

• Hybrid work model with at least three days per week in the Hyderabad office
• Opportunity to engage with and contribute to the Apache Airflow open-source community
• Direct exposure to enterprise-grade data pipelines across Fortune 500 companies and startups
• Continuous learning and growth as an Apache Airflow and Astronomer platform expert

Skills & Technologies

Python

AWS

Azure

GCP

Docker

Hybrid

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Astronomer, Inc.

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About Astronomer, Inc.

Astronomer, Inc. provides Apache Airflow as a managed cloud service and enterprise platform. The company maintains the open-source workflow orchestration project, offers commercial support, and delivers a control plane that lets data teams deploy, monitor, and scale directed acyclic graphs across Kubernetes clusters. Its product suite includes Astro, a fully hosted Airflow environment with role-based access, CI/CD hooks, and usage observability. Customers use the software to schedule Python and SQL data pipelines, connect on-premise and cloud databases, and ensure reliable data delivery for analytics and machine-learning workloads. Astronomer is headquartered in Cincinnati, Ohio, and serves global enterprises.

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