Staff Data Platform Engineer, Knowledge Platform

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. Preferred - Experience with Databricks, ClickHouse, real-time analytics, knowledge retrieval, search, indexing, or model infrastructure. - Experience building data or platform capabilities that support machine learning, generative AI, or agentic workflows. - Experience designing evaluation, feedback, annotation, provenance, or freshness systems for AI and data products. - Experience working in fintech, payments, or another regulated environment. YOU'LL THRIVE HERE IF - You're comfortable owning the roadmap yourself. - You're comfortable with ambiguity. Give you a problem, not a prescription, and you'll run with it. - You default to action. You'd rather course-correct in motion than wait for perfect clarity. - You connect dots across functions and hold the big picture without losing grip on the details. - You enjoy working closely with people across multiple countries and time zones as part of one connected, global team, including flexing your hours occasionally to make that connection work. LEARN MORE ABOUT YOUR TEAM The Knowledge Platform sits at the foundation of Airwallex’s Data and AI strategy. We are evolving traditional data infrastructure into knowledge infrastructure—turning structured and unstructured information into trusted, reusable context that helps people and AI systems make better decisions and take action. You’ll build the platform end to end, from core technologies such as Databricks, Clickhouse, Spark, and Kafka to real-time analytics, knowledge retrieval and indexing, model infrastructure, agent capabilities, and AI interaction history. You’ll also develop the evaluation, annotation, feedback, governance, permission, and freshness frameworks required to operate AI reliably at global financial scale. Our mission is making this ecosystem truly agent-ready. That means enabling teams to explore data through natural language, investigate business drivers in real time, and give AI systems secure access to the context and capabilities they need to support decisions and execute workflows. If you want to build the foundation that turns Airwallex’s data into knowledge, knowledge into intelligence, and intelligence into measurable business impact, this is where that work happens. APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com http://airwallex.com email address. Please apply only through careers.airwallex.com http://careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitt