Staff Software Engineer, Data Platform

About the role

ABOUT AIRWALLEX

Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.

We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.

We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles https://www.airwallex.com/en-us/operating-principles to see it in full.

HOW YOU'LL MAKE IMPACT

Airwallex is building a data and AI platform that helps teams turn information into better decisions and action. You'll shape the architecture, development, and operation of the systems that make this possible across the company.

- Set the technical direction for Airwallex's data and AI platforms, shaping reliable systems that turn data and AI into measurable business impact.

- Lead the identification and resolution of company-wide challenges through scalable data platform solutions, working across teams to influence technical roadmaps and decision-making.

- Build and evolve the infrastructure behind Airwallex's data ecosystem, including Databricks, Spark, Kafka, real-time analytics, knowledge retrieval and indexing, model infrastructure, and agent capabilities.

- Raise the bar on engineering craft, platform governance, security, reliability, and operational excellence while staying hands-on with complex technical problems.

- Mentor engineers and technical contributors, helping build a high-performing team and a culture of innovation, ownership, and continuous learning.

You'll work from our Singapore office five days a week.

WHAT WE'RE LOOKING FOR

ESSENTIALS

- 8+ years of experience in data platforms, data engineering, distributed systems, or an equivalent combination of professional and academic experience in a quantitative field.

- Experience leading company-wide initiatives across multiple teams or influencing technical roadmap planning.

- A track record of collaborating with diverse teams and stakeholders to deliver tangible business outcomes.

- The ability to balance execution and velocity with rigorous research, statistical understanding, and scalable system design.

- Experience mentoring and investing in the development of engineers, scientists, and peers.

- Technical leadership experience across significant data platform projects, including ETL frameworks, metrics stores, infrastructure management, and data security.