Staff Data Platform Engineer

Airwallex1 months ago

Location

SG - Singapore

Type

Full Time

Level

Staff

Role

Data Engineer

Posted

Jan 20, 2026

Full TimeStaff

The role

Summary

Airwallex seeks a Staff Data Platform Engineer to lead their Knowledge Platform team in Singapore, architecting AI-ready data infrastructure including real-time pipelines, ML platforms, and governance systems. The role requires 8+ years of data platform experience with expertise in modern lakehouse architecture, big data tools like Databricks and Kafka, and proven leadership in cross-functional technical initiatives.

What you'll do

Strategic Architecture Leadership: Spearhead identification and resolution of company-wide data challenges using cutting-edge data platform solutions

Technical Vision and Direction: Provide visionary technical direction and foster a community within Airwallex's data realm while solving complex problems hands-on

Best Practices Advocacy: Advocate for best practices across the data platform, instilling a culture of craftsmanship and innovation

Team Mentorship and Development: Mentor the data platform team, nurturing both technical and professional development of engineers and data scientists

Cross-functional Collaboration: Lead company-wide initiatives across multiple teams and influence technology roadmap planning

AI-Ready Infrastructure Development: Build foundational infrastructure that empowers the company to leverage data, AI, and ML for business impact

Real-time Data Platform Evolution: Evolve the data ecosystem into a fully AI agent-ready infrastructure for real-time, data-driven decision-making

Platform Governance and Security: Implement proper safety, governance, and security measures across the data and AI/ML platforms

What we look for

Technical

Data Platform ExpertiseMinimum 8 years of experience in Data Platform or equivalent quantitative field exposure

Multi-geographical Pipeline ExperienceProven experience building, deploying, and maintaining reliable data pipelines at scale across multiple regions

ETL and Infrastructure LeadershipTechnical leadership experience covering ETL frameworks, metrics stores, infrastructure management, and data security

Workflow OrchestrationFamiliarity with orchestration frameworks such as Airflow, DBT, and similar tools

Lakehouse ArchitectureHands-on design experience in crafting data processing patterns for modern Lakehouse architecture

Big Data TechnologiesExperience with GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, DataFlow, and Google Cloud Storage

Education

Quantitative BackgroundBachelor's degree in Computer Science, Data Engineering, Mathematics, Statistics, or related quantitative field

Advanced Technical EducationMaster's degree preferred in relevant technical discipline with focus on data systems or machine learning

Experience

Company-wide Initiative LeadershipProven track record leading initiatives across multiple teams and influencing tech roadmap planning

Cross-functional CollaborationEffective collaboration with diverse teams and stakeholders to drive tangible business outcomes

Mentoring and DevelopmentDemonstrated ability in mentoring and investing in the development of scientists, engineers, and peers

Complex Environment NavigationExperience thriving and delivering results in complex, fast-paced environments

Skills

Required skills

Data Architecture DesignExpert-level ability to design scalable, reliable data architectures for enterprise systems

Big Data TechnologiesProficiency with Spark, Kafka, Databricks, BigQuery, and other modern data stack technologies

Cloud Platform ExpertiseDeep experience with Google Cloud Platform services including DataProc, DataFlow, and Cloud Storage

Pipeline OrchestrationHands-on experience with Airflow, DBT, and other workflow management tools

Technical LeadershipProven ability to lead technical initiatives and mentor engineering teams

Cross-functional CommunicationExcellent communication skills for diverse audiences including leadership and technical teams

Nice to have

AI/ML Platform DevelopmentExperience building platforms for AI/ML model deployment and governance

Real-time StreamingAdvanced knowledge of real-time data streaming and processing architectures

Kubernetes OperationsExperience with containerized deployments and Kubernetes cluster management

Financial Technology DomainUnderstanding of fintech data requirements, compliance, and security standards

RAG and LLM IntegrationExperience with Retrieval-Augmented Generation systems and large language model integration

Multi-regional DeploymentExperience managing data systems across multiple geographical regions

Compensation & benefits

Stock options

Available

Benefits

Equity Compensation

Valuable equity within Airwallex to share in company success

Collaborative Work Environment

Open office space designed for collaboration and innovation

Fully Stocked Kitchen

On-site kitchen facilities with complimentary food and beverages

Team Building Events

Regular organized team-building activities and company events

Creative Freedom

Freedom to be creative and innovative in approach to problem-solving

Professional Development

Opportunities for accelerated learning and career growth in global fintech

Global Impact

Opportunity to make significant impact in rapidly growing, global financial technology company

Interview process

1
Initial Screening — HR and hiring manager screening to assess cultural fit and basic qualifications
2
Technical Architecture Interview — Deep dive into data platform architecture, system design, and technical leadership experience
3
System Design Challenge — Whiteboard session designing scalable data platforms for real-world scenarios
4
Leadership and Mentoring Assessment — Behavioral interview focusing on team leadership, mentoring experience, and cross-functional collaboration
5
Technical Panel Discussion — Panel interview with senior engineering leaders covering technical strategy and vision
6
Final Round with Leadership — Executive interview with VP/Director level stakeholders focusing on strategic impact and cultural alignment