[ref. t8033902] Engineering Manager, Realtime Data Platform
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.
- 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.
We organise regular team-building events and we give our people the freedom to be creative.
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.If you have a disability or special need that requires accommodation, please let us know.
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 concerning the 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.