Airwallex - Principal Architect, Data Knowledge Platform
Requirements
• 10+ years of experience designing and building large-scale data systems with strong architectural fundamentals. • Hands-on experience with the Databricks ecosystem, including Unity Catalog and Delta Lake. • Experience implementing semantic layers or metric stores to enable consistent reporting and analytics. • Solid understanding of how AI/agent-based systems consume data, with experience building APIs or data services to support them. • Experience designing data solutions that meet regional data residency and compliance requirements. • Demonstrated senior-level individual contributor experience, including leading design reviews and mentoring engineers. • At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative. • Applicant Safety Policy: Fraud and Third-Party Recruiters • To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. • Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. • Equal opportunity • Equal opportunity
Responsibilities
• Own the technical execution of regional and global data localisation strategies within the Databricks environment. • Design scalable patterns that satisfy strict regulatory requirements while maintaining a unified global data model across priority markets. • Reconcile local compliance constraints with global consistency in definitions, metrics, and knowledge artifacts. • Partner with Data Science, AI Engineering, Product, and Risk teams to ensure the platform supports experimentation and high-quality decision-making. • Lead global data modeling efforts, creating unified schemas that accommodate regional variance. • Define and implement “Agent Interfaces”—APIs and tools that enable AI agents to interact with Knowledge and Skills layers. • Implement Governance-as-Code, ensuring automated data lineage and quality controls are embedded directly into the data platform.
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