[Remote] Staff Software Engineer, Data Platform

Note: The job is a remote job and is open to candidates in USA. Airwallex is a global payments and financial platform for businesses. The Staff Software Engineer, Data Platform will oversee the strategy, architecture, development, and operation of the company’s data and AI platforms while providing technical leadership, mentoring the team, and driving innovation and technical excellence.

Responsibilities

• Spearheaded the identification and resolution of Airwallex-wide challenges using cutting-edge data platform solutions
• Provide visionary technical direction, fostering a community within Airwallex's data realm, and actively leading 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

Skills

• A 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
• 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

Benefits

• Equity
• Bonus

Company Overview

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