high level architect (staff engineer)

high level architect (staff engineer)

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 Singapore.

• 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