Airwallex
Staff Software Engineer, Data Platform
$200K–$260K
US - Seattle · Hybrid · Staff · Full-time · Posted Sep 28, 2026
- Experience
- 8+ years, or an equivalent combination of professional experience and academic exposure in a quantitative field.
About the job
Leads the architecture and development of Airwallex’s data and AI platform, building agent-ready infrastructure for analytics, knowledge retrieval, and company-wide decision-making.
What you'll do
- Own the strategy, architecture, development, and operation of data and AI platforms.
- Lead scalable, cross-company data platform initiatives and shape technical direction across teams.
- Build agent-ready infrastructure and promote engineering excellence through hands-on work and mentoring.
What they ask for
- 8+ years of experience in data platforms, or an equivalent combination of professional experience and academic exposure in a quantitative field.
- Experience leading company-wide initiatives across teams or influencing technical roadmaps.
- Technical leadership across data platform projects, including ETL frameworks, metrics stores, infrastructure management, and data security.
- Experience building, deploying, and maintaining reliable data pipelines at scale across multiple geographies.
Nice to have
- Hands-on experience designing data processing patterns for a modern lakehouse architecture.
- Experience with technologies such as GCP, Databricks, BigQuery, Dataproc, Kafka, Kubernetes, Spark, Dataflow, Google Cloud Storage, and Airflow.
Pay
$200K – $260K (base salary)
Tools
Airflow, dbt, GCP, Databricks, BigQuery, Kafka, Spark, Clickhouse
AI focus
Develops agent-ready data and AI infrastructure, including natural-language data exploration, knowledge retrieval, model infrastructure, agent capabilities, and frameworks for reliable AI governance and evaluation.
Model-written summary · the original posting is authoritative