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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer, Data Platform - **Company:** Airwallex US, LLC - **Location:** Seattle, WA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Big Data, BigQuery, Cloud Storage, Data Architecture, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Flow Control, Information Retrieval, Real-Time Operating Systems, Cloudera, Software Engineering, Data Processing, Google Cloud, Apache Spark, Indexer, Kubernetes, Apache Kafka, Data Management, Vertica, Virtual Agents, Stream Analytics, Data Pipelines, Databricks - **Published:** October 26, 2026 - **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-data-platform-seattle-wa--86ca8ab2-9197-470f-ad85-8e0ea99842f2 ## About the Role Software Engineering, Financial Operations, Artificial Intelligence (AI), Financial Systems, Realtime Operating System, MCP - Microsoft Certified Professional, Data Management, Ecosystems, Systems Administration/Management, Software Engineering, * 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 multiple teams or influencing technical roadmap planning. * A track record of collaborating with diverse teams and stakeholders to drive tangible business outcomes. * The ability to balance execution and velocity with in-depth research, statistical understanding, and scalable system design. * Experience mentoring and investing in the development of scientists, engineers, and peers. * Technical leadership experience across significant data platform projects, including ETL frameworks, metrics stores, infrastructure management, and data security. * Experience building, deploying, and maintaining reliable data pipelines across multiple geographies and at scale. * Familiarity with workflow or orchestration frameworks such as Airflow and dbt. Preferred * Hands-on experience designing data processing patterns for a modern lakehouse architecture. * Experience designing and developing standard framework modules, high-performance services, and client libraries for big data. * Experience with technologies such as GCP, Databricks, BigQuery, Dataproc, Kafka, Kubernetes, Spark, Dataflow, Google Cloud Storage, and Airflow. * Excellent written and verbal communication skills, with the ability to tailor communication for leadership, users, and company-wide audiences. * Ability to rapidly evaluate technologies and run proofs of concept to inform architecture decisions. * Experience thriving in a complex environment. You'll thrive here if * You're comfortable owning the roadmap yourself. * You own the outcome and you don't wait for permission to fix what's broken. * You're comfortable with ambiguity. Give you a problem, not a prescription, and you'll run with it. * You know when to align and when to just decide. Collaboration isn't a way to avoid accountability. * You're comfortable operating across time zones with a globally distributed team, including colleagues based in APAC and EMEA. ## Description Airwallex is evolving its data and AI platforms into an agent-ready foundation for company-wide decision-making and measurable business impact. As a Staff Software Engineer, you'll shape the architecture and technical direction that makes this possible. * Own the strategy, architecture, development, and operation of Airwallex's data and AI platforms, turning data and AI capabilities into measurable business impact. * Identify and solve company-wide challenges through scalable data platform solutions, influencing technical direction across multiple teams. * Shape the evolution of our data ecosystem into AI agent-ready infrastructure that supports real-time performance, analytics, natural-language querying, and data-driven decision-making. * Raise the bar for technical excellence across data platforms by solving complex problems hands-on, advocating for strong engineering practices, and mentoring engineers and technical leaders., You'll build the platform end to end, from core technologies such as Databricks, Clickhouse, Spark, and Kafka to real-time analytics, knowledge retrieval and indexing, model infrastructure, agent capabilities, and AI interaction history. You'll also develop the evaluation, annotation, feedback, governance, permission, and freshness frameworks required to operate AI reliably at global financial scale. Our mission is making this ecosystem truly agent-ready. That means enabling teams to explore data through natural language, investigate business drivers in real time, and give AI systems secure access to the context and capabilities they need to support decisions and execute workflows. If you want to build the foundation that turns Airwallex's data into knowledge, knowledge into intelligence, and intelligence into measurable business impact, this is where that work happens.