Staff Software Engineer, Data Platform

Airwallex; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Airwallex in Seattle is seeking a high-level architect (Staff Engineer) to steer the strategy, architecture, development, and operation of our data and AI platforms. You will mentor a high-performing team, shape data-driven decision making, and drive technical excellence across ETL, data security, and platform reliability in a fast-paced, global company.

You will lead cross-functional collaboration with data science, infrastructure, and product teams, delivering scalable Lakehouse patterns and

Qualifications

• 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.

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

Data platform leadership

Cross-team leadership

Mentoring

Data security

ETL frameworks

Multi-geo pipelines

Airflow & DBT

Tools

Airflow

DBT

Kafka

Spark

Databricks

Kubernetes

Job description

About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide – including Brex, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

Attributes We Value

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You’re humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end‑to‑end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

About the team

The Knowledge Platform team is at the heart of our company’s data and AI strategy. We are building the foundational infrastructure that empowers the entire company to leverage data, AI, and ML into business impact. We accomplish this by creating platforms that handle the entire data and AI/ML lifecycle, simplifying the interface while providing proper safety and governance. This includes managing our data infrastructure (Databricks, Spark, Kafka, etc.), the technology to serve that data to our users (RAG, MCP, etc.), and the platform to host and govern these AI/ML models.

In 2026, our team’s overarching mission is to evolve our full data ecosystem—encompassing both platform and models—into a fully AI agent-ready infrastructure; we will empower customers to engage directly with the data platform to extract actionable value through capabilities like analytics and natural language querying, while also upgrading the platform to deliver robust, real‑time performance for instant, data‑driven decision‑making.

What you’ll do

As a high level architect (staff engineer), you will oversee the strategy, architecture, development, and operation of Airwallex’s data and AI platforms. You will play a pivotal role in influencing data‑driven and AI‑powered decision‑making processes. A key aspect of your role will also include building a high‑performing team that excels in a fast‑paced environment. Your leadership will be critical in mentoring the team, promoting a culture of innovation, and driving technical excellence.

This role is based in Seattle.

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.

Who you are

We’re looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum Requirements:

• 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.

Preferred Qualifications:

• 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

#singapore

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.