Staff Data Platform Engineer, Knowledge Platform

About the role

Airwallex, the AI-native financial operating system used by more than 675,000 businesses, is hiring a Staff Data Platform Engineer for its Knowledge Platform in Singapore. The Knowledge Platform sits at the foundation of Airwallex's Data and AI strategy, turning structured and unstructured information into trusted, reusable context for people and AI systems. This is an in-office role, five days a week in the Singapore office.

Key responsibilities

• 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 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 the ecosystem agent-ready, enabling natural-language data exploration, real-time investigation of business drivers and secure access to context and capabilities.
• Influence technical direction, raise engineering standards and take ambiguous, technically complex problems from definition through delivery with substantial ownership.

Required profile

• 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 with data warehouses, lakehouses, analytical databases or data infrastructure at scale.
• Strong understanding of data quality, governance, access control, observability and platform reliability.
• Track record of taking complex problems from definition through delivery, and ability to influence technical direction and work across engineering, data and AI teams.
• Comfortable owning the roadmap, working with ambiguity, connecting dots across functions and collaborating with colleagues across countries and time zones.

Preferred

• Experience with Databricks, ClickHouse, real-time analytics, knowledge retrieval, search, indexing or model infrastructure.
• Experience supporting machine learning, generative AI or agentic workflows.
• Experience designing evaluation, feedback, annotation, provenance or freshness systems for AI and data products.
• Experience in fintech, payments or another regulated environment.