Data Platform Engineering Manager
Airwallex · Singapore · 7mo ago
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 250,000 businesses worldwide – including Brex, 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 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, 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.
Attributes We Value
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
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.
In 2026, our team’s overarching mission is to evolve our full data ecosystem—encompassing both platform and models—into a fully AI agent-ready infrastructure; we will empower customers to engage directly with the data platform to extract actionable value through capabilities like analytics and natural language querying, while also upgrading the platform to deliver robust, real-time performance for instant, data-driven decision-making.
What you'll do
As the Engineering 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.
Hiring Location: Singapore
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.
Partner with product teams to enable new data-driven features, such as AI-powered applications or real-time dashboards, by ensuring the underlying platform capabilities are in place.
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.
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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 email address. Please apply only through 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 submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.
Equal opportunity
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.