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Staff Data Platform Engineer

Singapore, Singapore · Job Posted February 21, 2026
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Job Description

As a high level architect(staff engineer), you will oversee the strategy, architecture, development, and operation of Airwallex's data and AI platforms. You will play a pivotal role in influencing data-driven and AI-powered decision-making processes. A key aspect of your role will also include building a high-performing team that excels in a fast-paced environment. Your leadership will be critical in mentoring the team, promoting a culture of innovation, and driving technical excellence.

Job Responsibility

  • Spearheaded the identification and resolution of Airwallex-wide challenges using cutting-edge data platform solutions
  • Provide visionary technical direction, fostering a community within Airwallex's data realm, and actively leading in solving complex problems hands-on
  • Advocate for best practices across the data platform, instilling a culture of craftsmanship and innovation
  • Mentor the data platform team, nurturing both technical and professional development.

Requirements

  • A minimum of 8 years of experience in Data Platform or an equivalent combination of work and academic exposure in a quantitative field
  • Proven experience leading company-wide initiatives across multiple teams or influencing tech roadmap planning
  • Effective collaboration with diverse teams and stakeholders to drive tangible business outcomes
  • Demonstrated ability to balance execution and velocity with in-depth research, statistical understanding, and scalable design
  • Track record of mentoring and investing in the development of scientists, engineers, and peers
  • Experience providing technical leadership on significant projects, covering ETL frameworks, metrics stores, infrastructure management, and data security
  • Proficiency in building, deploying, and maintaining reliable multi-geographical data pipelines at scale
  • Familiarity with workflow or orchestration frameworks such as Airflow, DBT, etc.

Nice to have

  • Hands-on design experience in crafting data processing patterns for a modern Lakehouse architecture
  • Contribute to the design and development of standard framework modules, high-performance services, and client libraries for big data using tools like GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, DataFlow, Google Cloud Storage, and Airflow
  • Excellent written and verbal communication skills tailored for diverse audiences (leadership, users, company-wide)
  • Ability to rapidly evaluate various technologies and conduct proof of concepts to drive architecture design
  • Experience thriving in a complex environment.

What we offer

  • Competitive salary plus valuable equity within Airwallex
  • Collaborative open office space with a fully stocked kitchen
  • Regular team-building events
  • Freedom to be creative.

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