Engineering Manager, Real Time Data Platform

**About Airwallex**

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 1,700 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

Engineering Manager, Realtime Data Platform

**Hiring Location**:Singapore

Airwallex is the leading financial technology platform for modern businesses growing beyond borders. With one of the world’s most powerful payments and banking infrastructures, our technology empowers businesses of all sizes to accept payments, move money globally, and simplify their financial operations, all in one single platform.

Established in 2015 in Melbourne, we aim to connect entrepreneurs, business builders, makers, and creators with opportunities in every corner of the world. Today, Airwallex has a global footprint across Asia-Pacific, Europe, and North America.

**Who We Are? About the Team**:
The Knowledge Platform team is at the heart of our company's data and AI strategy. We are building the foundational infrastructure that empowers the entire company to leverage data, AI, and ML into business impact. We accomplish this by creating platforms that handle the entire data and AI/ML lifecycle, simplifying the interface while providing proper safety and governance. This includes managing our data infrastructure (Databricks, Spark, Kafka, etc.), the technology to serve that data to our users (RAG, MCP, etc.), and the platform to host and govern these AI/ML models.

**Who You Are? Role Overview**:
As the Manager for Realtime Data Platform, a team within the Knowledge Platform, you will oversee large-scale, cross-functional initiatives that impact the entire data ecosystem. You will be responsible for defining the multi-year vision and technical roadmap for all real-time data analysis and serving needs, ensuring they are aligned with broader business objectives and product goals. A key aspect of your role will also include scaling the engineering teams, defining new roles, and establishing best practices for communication and collaboration across multiple sub-teams.

**Responsibilities**:
- Provide visionary technical leadership and define a clear 1-3 year strategic roadmap for the Realtime Data Platform.- Lead the multi-year effort to modernize our core data platform, introducing real-time analytical processing at petabyte scale.-
- Successfully scale and structure the engineering teams, including hiring new talent and mentoring managers and senior individual contributors.- Cultivate and maintain strong relationships with product and other engineering teams, serving as a trusted technical advisor on all things Data and AI.

**Who you are**:
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

**Minimum Requirements**:
- A minimum of 8 years of experience in data or software engineering, with at least 3 years in a leadership or management role.- Proven experience successfully managing and scaling an engineering team of 10+ people, including managers and senior individual contributors.- Demonstrated ability to define and execute a technical strategy that led to a significant business outcome or operational improvement.- Strong command of the data and software engineering domains, with a focus on architecture and strategy.- Deep understanding of distributed data processing technologies (e.g., Apache Spark, Databricks) and event streaming (e.g., Kafka).- Solid knowledge of modern data storage and serving technologies, such as CubeJS, ElasticSearch, and Clickhouse, and more.
- Familiarity with observability tooling such as Splunk, Grafana, and Prometheus.

**Preferred qualifications**:
- Experience within the financial domain.- Hands-on design experience in crafting data processing patterns for a modern Lakehouse architecture.- 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.
- At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our succ