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Staff Data Platform Engineer, Knowledge Platform

Airwallex· Engineering
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SG - SingaporeFull-timePosted 5mo ago

About the role

Lead technical direction and build/operate Airwallex's data and AI platforms. Focus on scalable data infrastructure (Databricks, Spark, Kafka), knowledge retrieval, model infrastructure, and agent capabilities to enable company-wide data/AI usage and real-time decision-making. Mentoring, governance, security, and reliability are key.

Responsibilities

  • Set the technical direction for Airwallex's data and AI platforms, shaping 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, influencing roadmaps and decision-making.
  • 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 remaining hands-on with complex technical problems.
  • Mentor engineers and technical contributors, helping build a high-performing team and a culture of innovation, ownership, and continuous learning.

Qualifications

  • 8+ years of experience in data platforms, data engineering, distributed systems, or equivalent.
  • Experience leading company-wide initiatives across multiple teams or influencing technical roadmap planning.
  • Track record of collaborating with diverse teams and stakeholders to deliver tangible business outcomes.
  • Ability to balance execution with rigorous research, statistical understanding, and scalable system design.
  • Experience mentoring and developing engineers, scientists, and peers.
  • Technical leadership across significant data platform projects, including ETL frameworks, metrics stores, infrastructure management, and data security.
  • Experience building, deploying, and maintaining reliable, multi-region data pipelines at scale.
  • Familiarity with workflow and orchestration frameworks such as Airflow or dbt.

Skills

Required:Data platform leadershipMulti-region data pipelinesETL frameworksWorkflow/orchestration
Last updated Oct 22, 2026. Interested? Apply on the company site.
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