Staff Software Engineer, Data Platform

About the role

Airwallex is building a data and AI platform that turns information into better decisions and action, and is looking for a Staff Software Engineer to shape its architecture, development and operation. The role sits within the Knowledge Platform team, which is evolving data infrastructure into knowledge infrastructure so that teams can explore data through natural language and give AI systems secure access to context. You will work from the Singapore office five days a week.

Key responsibilities

• Set the technical direction for Airwallex's data and AI platforms, building reliable systems that turn data and AI into measurable business impact.
• Lead the identification and resolution of company-wide challenges through scalable data platform solutions, working across teams to influence technical roadmaps and decisions.
• Build and evolve the infrastructure behind the data ecosystem, including Databricks, Spark, Kafka, real-time analytics, knowledge retrieval and indexing, model infrastructure and agent capabilities.
• Raise the bar on engineering craft, platform governance, security, reliability and operational excellence while staying hands-on with complex technical problems.
• Mentor engineers and technical contributors and help build a high-performing team.

Required profile

• 8+ years of experience in data platforms, data engineering, distributed systems, or an equivalent combination of professional and academic experience in a quantitative field.
• Experience leading company-wide initiatives across multiple teams or influencing technical roadmap planning.
• Track record of collaborating with diverse teams and stakeholders to deliver business outcomes, and of mentoring engineers, scientists and peers.
• Technical leadership experience on data platform projects such as ETL frameworks, metrics stores, infrastructure management and data security.
• Experience building, deploying and maintaining reliable, multi-region data pipelines at scale.
• Comfortable owning the roadmap, working with people across countries and time zones, and thriving in a fast-moving environment.

Required skills

• Preferred: familiarity with Airflow or dbt.
• Preferred: hands-on experience with GCP, Databricks, BigQuery, Dataproc, Kafka, Kubernetes, Spark, Dataflow, Google Cloud Storage and Airflow.
• Preferred: experience with modern lakehouse architectures, big data framework modules, high-performance services and client libraries.