Engineering Manager, Real Time Data Platform

Overview

Join to apply for the Engineering Manager, Real Time Data Platform role at Airwallex .

About Airwallex: Airwallex is the unified payments and financial platform for global businesses. We empower over 150,000 businesses worldwide with solutions to manage accounts, payments, spend, treasury, and embedded finance at a global scale. We are proudly founded in Melbourne with a global footprint across Asia-Pacific, Europe, and North America.

Airwallex is a leading fintech platform that enables businesses to accept payments, move money globally, and simplify financial operations, all in one platform. We foster a collaborative, creative environment with opportunities to make a meaningful impact.

Location: Singapore.

Who We Are

The Knowledge Platform team is at the heart of our data and AI strategy. We build foundational infrastructure to enable data, AI, and ML at scale, including data infrastructure (Databricks, Spark, Kafka), serving data to users (RAG, MCP), and hosting/governing AI/ML models.

Role Overview

As the Manager for Realtime Data Platform, you will oversee large-scale, cross-functional initiatives across the data ecosystem. You will define the multi-year vision and technical roadmap for real-time data analysis and serving needs, align with business objectives and product goals, scale engineering teams, define new roles, and establish best practices for cross-team collaboration.

Responsibilities

• Provide visionary technical leadership and define a 1-3 year strategic roadmap for the Real-time Data Platform.
• Lead modernization of the core data platform, introducing real-time analytical processing at petabyte scale.
• Partner with product teams to enable data-driven features (e.g., AI-powered apps or real-time dashboards) by ensuring underlying platform capabilities are in place.
• Scale and structure engineering teams, including hiring and mentoring managers and senior individual contributors.
• Foster strong relationships with product and other engineering teams, acting as a trusted technical advisor on Data and AI.

Who You Are

We're looking for people who meet the minimum qualifications for this role. Preferred qualifications are nice-to-have but not mandatory.

Minimum Requirements

• 8+ years of experience in data or software engineering, with at least 3 years in leadership or management.
• Proven success in managing and scaling an engineering team of 10+ people, including managers and senior ICs.
• Ability to define and execute a technical strategy that delivered significant business outcomes or operational improvements.
• Strong command of data and software engineering domains, with focus on architecture and strategy.
• Deep understanding of distributed data processing (e.g., Apache Spark, Databricks) and event streaming (e.g., Kafka).
• Solid knowledge of modern data storage/serving technologies (e.g., CubeJS, ElasticSearch, Clickhouse).
• Familiarity with observability tools (e.g., Splunk, Grafana, Prometheus).

Preferred Qualifications

• Experience in the financial domain.
• Hands-on design experience for data processing patterns in a Lakehouse architecture.
• Excellent written and verbal communication tailored for diverse audiences (leadership, users, company-wide).
• Ability to rapidly evaluate technologies and conduct proofs of concept to drive architecture decisions.
• Ability to thrive in a complex environment.

At Airwallex, you can make an impact in a rapidly growing global fintech. Competitive salary plus equity, collaborative open office space, fully stocked kitchen, regular team-building events, and freedom to be creative are part of our environment.

Equal Opportunity

Airwallex is an equal opportunity employer. We value diversity and hire based on merit, qualifications, competence and talent. We do not discriminate based on color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you require accommodation, please let us know.

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