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Airwallex

Runs global payments and accounts for businesses

Data Platform Principal Architect

Data ManagementConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listed

About the Job

Requirements

  • At least 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 for consistent reporting and analytics.
  • Strong understanding of how artificial intelligence and agent-based systems consume data, with experience building application programming interfaces or data services to support them.
  • Experience designing data solutions that meet regional data residency and compliance requirements.
  • Senior-level individual-contributor experience, including leading design reviews and mentoring engineers.

Responsibilities

  • Architect governed, reusable data, knowledge, and skills layers that power analytics, artificial intelligence agents, and real-time decision systems.
  • Own the technical execution of regional and global data localisation strategies within Databricks, balancing regulatory requirements with a unified global data model across priority markets.
  • Design scalable patterns for governed datasets, semantic models, knowledge artifacts, analytical workflows, agent-callable tools, and transformation primitives.
  • Reconcile local compliance constraints with global consistency in data definitions, metrics, and knowledge assets.
  • Partner with Data Science, AI Engineering, Product, and Risk teams to support experimentation, high-quality decision-making, and reliable AI-enabled workflows.
  • Lead global data modelling efforts, define Agent Interfaces through application programming interfaces and tools, and embed automated lineage and quality controls through Governance-as-Code.
  • Serve as the primary technical authority as the team's most senior individual contributor, leading design reviews and mentoring engineers.
  • Build the platform end to end, spanning core technologies such as Databricks, Clickhouse, Spark, and Kafka; real-time analytics; knowledge retrieval and indexing; model infrastructure; agent capabilities; and AI interaction history.
  • Develop evaluation, annotation, feedback, governance, permission, and freshness frameworks to operate AI reliably at global financial scale.
  • Enable teams to explore data through natural language, investigate business drivers in real time, and give AI systems secure access to context and capabilities for supporting decisions and executing workflows.

About the Company

Airwallex

Runs global payments and accounts for businesses

Airwallex runs a financial platform for businesses that sell, buy and operate across borders, from startups to large enterprises. Its multi-currency accounts let customers receive and hold money locally, then pay overseas suppliers without converting every sale into their home currency. Businesses also use its corporate cards and expense controls to manage spending, while online sellers accept customer payments through its checkout tools. Finance teams work in a web app, and developers embed the services in other software; Airwallex earns transaction fees and charges for paid software plans. Founded in Melbourne in 2015, Airwallex has dual headquarters in Singapore and San Francisco.

Company size
1,001-5,000
Company stage
Series H
Total funding
$1.7B
Headquarters
Singapore, Singapore
Founded
2015

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