Staff Data Platform Engineer, Knowledge Platform

Airwallex; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Airwallex is seeking a high level architect (staff engineer) in Singapore to lead the strategy, architecture, and operation of its data and AI platforms. In this role, you will mentor a high-performing team and drive technical excellence while promoting a culture of innovation.

Your responsibilities include spearheading solutions for company challenges and advocating for best practices in data platforms. You should have a minimum of 8 years experience and expertise in building scalable data pipelines.

Qualifications

• Minimum of 8 years of experience in Data Platform or related field.
• Experience leading cross-functional teams to achieve business goals.
• Proficient in building reliable multi-geographical data pipelines.

Responsibilities

• Oversee strategy, architecture, development of data and AI platforms.
• Identify and resolve challenges with data platform solutions.
• Mentor the data platform team and promote innovation.

Skills

Data Platform leadership

Mentoring and development

Collaboration

Statistical understanding

Technical leadership

Education

8+ years of experience in Data Platform or quantitative field

Tools

GCP

Databricks

BigQuery

Kafka

Spark

DBT

Airflow

Job description

What You’ll Do

As a high level architect (staff engineer), you will oversee the strategy, architecture, development, and operation of Airwallex’s data and AI platforms. You will influence data-driven and AI‑powered decision‑making processes, build a high‑performing team, mentor them, promote a culture of innovation, and drive technical excellence. This role is based in Singapore.

Responsibilities

• Spearhead the identification and resolution of Airwallex‑wide challenges using cutting‑edge data platform solutions.
• Provide visionary technical direction, foster a community within Airwallex’s data realm, and actively lead in solving complex problems hands‑on.
• Advocate for best practices across the data platform, instilling a culture of craftsmanship and innovation.
• Mentor the data platform team, nurturing both technical and professional development.

Minimum Requirements

• Minimum of 8 years of experience in Data Platform or an equivalent combination of work and academic exposure in a quantitative field.
• Proven experience leading company‑wide initiatives across multiple teams or influencing tech roadmap planning.
• Effective collaboration with diverse teams and stakeholders to drive tangible business outcomes.
• Demonstrated ability to balance execution and velocity with in‑depth research, statistical understanding, and scalable design.
• Track record of mentoring and investing in the development of scientists, engineers, and peers.
• Experience providing technical leadership on significant projects, covering ETL frameworks, metrics stores, infrastructure management, and data security.
• Proficiency in building, deploying, and maintaining reliable multi‑geographical data pipelines at scale.
• Familiarity with workflow or orchestration frameworks such as Airflow, DBT, etc.

Preferred Qualifications

• Hands‑on design experience in crafting data processing patterns for a modern Lakehouse architecture.
• Contribute to the design and development of standard framework modules, high‑performance services, and client libraries for big data using tools like GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, DataFlow, Google Cloud Storage, and Airflow.
• 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.

Equal Opportunity Statement

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.