Engineering Manager, Data Knowledge Platform
Engineering Manager · Manager · Full Time
Opens Airwallex's application page
Role
What you'll do.
The Engineering Manager for Realtime Data Platform role at Airwallex involves leading a team within the Knowledge Platform to build foundational AI and data infrastructure. This position requires scaling engineering teams of 10+ people while defining multi-year technical roadmaps for petabyte-scale real-time analytical processing systems.
Responsibilities
- Strategic Vision: Define and execute 1-3 year strategic roadmap for Realtime Data Platform with clear business alignment
- Platform Modernization: Lead multi-year effort to modernize core data platform introducing real-time analytical processing at petabyte scale
- Cross-functional Partnership: Partner with product teams to enable AI-powered applications and real-time dashboards through platform capabilities
- Team Scaling: Scale and structure engineering teams including hiring new talent and mentoring managers and senior individual contributors
- Technical Advisory: Serve as trusted technical advisor on Data and AI initiatives across product and engineering teams
- Architecture Leadership: Drive technical architecture decisions for distributed data processing and event streaming systems
- Stakeholder Management: Maintain strong relationships with leadership and communicate technical strategy to diverse audiences
Qualifications
What we look for.
Technical
Distributed Systems Expertise
Deep understanding of Apache Spark, Databricks, and Kafka for large-scale data processing
Data Storage Technologies
Solid knowledge of CubeJS, ElasticSearch, ClickHouse and modern data serving technologies
Observability Tools
Familiarity with Splunk, Grafana, and Prometheus for monitoring distributed systems
Lakehouse Architecture
Experience designing data processing patterns for modern Lakehouse architecture
Education
Bachelor's Degree
Computer Science, Data Engineering, or related technical field preferred
Advanced Degree
Master's degree in relevant field advantageous for senior leadership role
Experience
Leadership Experience
Minimum 3 years in engineering leadership or management role
Team Management
Proven experience managing and scaling engineering teams of 10+ people including managers
Technical Strategy
Demonstrated ability to define and execute technical strategy leading to significant business outcomes
Data Engineering
8+ years total experience in data or software engineering domains
Skills
Required
Apache Spark
Distributed data processing framework expertise for large-scale analytics
Kafka
Event streaming platform knowledge for real-time data pipelines
Team Leadership
Proven ability to manage and scale engineering teams of 10+ people
Technical Strategy
Experience defining and executing technical roadmaps with business impact
Data Architecture
Strong command of data engineering domains with focus on architecture
Preferred
Financial Domain
Nice to haveExperience working within financial services or fintech environment
Lakehouse Architecture
Nice to haveHands-on experience with modern data lake and warehouse architectures
Communication Skills
Nice to haveExcellent written and verbal communication for diverse audiences
Technology Evaluation
Nice to haveAbility to rapidly evaluate technologies and conduct proof of concepts
Complex Environments
Nice to haveExperience thriving in fast-paced, complex organizational environments
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·SGD 120,000 – 180,000
Equity·Stock options
Benefits
Equity Compensation
Valuable equity within Airwallex to share in company success
Collaborative Workspace
Open office space with fully stocked kitchen and modern facilities
Team Building
Regular team-building events and collaborative culture
Creative Freedom
Freedom to be creative and innovative in approach to solving problems
Global Impact
Opportunity to make impact in rapidly growing global fintech company
Learning Opportunities
Accelerated learning environment with complex, high-visibility problems
Process
Interview steps.
- 01
Initial Screening
Phone/video call with talent acquisition to discuss background and role fit
- 02
Technical Leadership Interview
Deep dive into technical architecture experience and leadership philosophy
- 03
System Design Interview
Design large-scale data systems and discuss real-time processing architectures
- 04
Behavioral Interview
Team management scenarios and cross-functional collaboration examples
- 05
Executive Interview
Strategic vision discussion with senior leadership team
- 06
Reference Checks
Verification of leadership experience and technical achievements
Full posting
Original listing.
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 200,000 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 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 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.
Engineering Manager, Realtime Data Platform
Hiring Location: Singapore
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.
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.
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 success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.
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.
Redirects to Airwallex's application page.
Other roles
More at Airwallex.
Senior Software Engineer, Ecosystem
Senior
Senior Data Scientist, Analytics (Lending)
Senior
Senior Software Engineer - Growth
Senior
Engineering Director
Director
Senior Data Scientist, Algorithm (Lending & Onboarding)
Senior