Staff Data Platform Engineer, Knowledge 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

You’ll own the design and delivery of data platform capabilities that turn structured and unstructured information into trusted, reusable context for people and AI systems.

- Build and evolve scalable data infrastructure across technologies such as Databricks, ClickHouse, Spark, and Kafka, alongside real-time analytics, knowledge retrieval and indexing, model infrastructure, and AI interaction history.

- Establish the evaluation, annotation, feedback, governance, permission, and freshness frameworks needed to operate AI reliably at global financial scale.

- Partner with engineering, data, and AI teams to make Airwallex’s ecosystem agent-ready, enabling natural-language data exploration, real-time investigation of business drivers, and secure access to the context and capabilities required to support decisions and execute workflows.

- Influence technical direction, raise engineering standards, and help take ambiguous, technically complex problems from definition through delivery with substantial ownership.

This is an in-office role — you’ll be in our Singapore office five days a week.

WHAT WE'RE LOOKING FOR

Essentials

- Experience designing, building, and operating scalable data platforms or data-intensive backend systems in production.

- Strong software engineering skills in a language such as Python, Java, or Scala.

- Hands-on experience with distributed data processing and streaming technologies such as Spark and Kafka.

- Experience working with data warehouses, lakehouses, analytical databases, or data infrastructure at scale.

- Strong understanding of data quality, governance, access control, observability, and platform reliability.

- A track record of taking ambiguous, technically complex problems from definition through delivery with substantial ownership.

- Ability to influence technical direction, raise engineering standards, and work effectively across engineering, data, and AI teams.