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Lead Data Software Engineer

Hybrid in Vietnam: Hanoi, Vietnam: Ho Chi Minh City
Data Software Engineering& 5 others
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We are seeking a Lead Data Engineer (Python, Kubernetes, Snowflake) to own reliable data pipelines and production platforms across Cloud and on-prem. You will deploy and run data and ML workloads on OpenShift, improve CI/CD, troubleshoot complex issues and guide engineering teams as we scale an enterprise analytics and ML platform.

Responsibilities
  • Design, build and maintain scalable data pipelines and platform components using Snowflake, Apache Spark (PySpark), SQL and Apache Airflow
  • Deploy, operate and support data and ML workloads on Kubernetes and OpenShift in production
  • Develop and maintain Python services and APIs using FastAPI or similar frameworks
  • Monitor, troubleshoot and optimize performance, reliability and data quality across pipelines and platforms
  • Build and improve continuous integration and continuous delivery (CI/CD) pipelines for safe, repeatable releases
  • Partner with DevOps, Platform, ML, infrastructure and application teams to deliver production-ready solutions
  • Drive root cause analysis for complex incidents and define preventative fixes and operational best practices
  • Provide technical leadership through architecture decisions, reviews and mentoring
Requirements
  • Proven experience in data engineering and enterprise-scale data platform delivery
  • Hands-on expertise with Snowflake, Apache Spark (PySpark), SQL and Apache Airflow
  • Strong Python development capability, including building services or APIs
  • Production experience operating workloads on Kubernetes or Red Hat OpenShift
  • Solid background in continuous integration and continuous delivery (CI/CD), Git workflows, containers and deployment automation
  • Experience supporting solutions across Microsoft Azure and hybrid cloud environments
  • Strength in monitoring, troubleshooting and production support for distributed systems
  • Track record of technical ownership, clear communication and mentoring within engineering teams
Nice to have
  • Experience with FastAPI, Databricks or Splunk
  • Exposure to MLOps practices, ML platform operations or LLM and GenAI enablement platforms
  • Infrastructure as Code experience (tooling aligned to your environment)