обновлено 10 дней назад
Director, Data and Knowledge Platform Engineering (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Data and Knowledge Platform Engineering (Fintech): Designing and scaling a governed Data → Knowledge → Skills stack to power analytics and AI agents with an accent on semantic layers and regional data localization. Focus on building a reusable foundation for machine reasoning and maintaining a unified global data model across multiple jurisdictions.
Location: Must be based in San Francisco
Company
Airwallex is a unified payments and financial platform for global businesses, providing integrated solutions for business accounts, payments, and treasury management.
What you will do
- Own the architecture, delivery, and adoption of a governed Data → Knowledge → Skills stack.
- Design and scale semantic and operational layers on top of a Databricks Lakehouse.
- Implement regional data localization and residency strategies to satisfy regulatory requirements globally.
- Productize platform capabilities to enable consistent reasoning for both human analysts and AI agents.
- Collaborate with Data Science, AI engineering, Product, and Risk teams to support rapid experimentation and automation.
Requirements
- 15+ years in data or platform engineering, including 5+ years leading teams in complex, multi-region environments.
- Proven experience architecting modern data platforms with semantic layers, metadata systems, or knowledge graphs.
- Strong expertise in data modeling (transactional, event-driven, dimensional) and observability practices.
- Deep familiarity with Databricks and modern lakehouse architectures.
- Experience with data governance, privacy, and regulatory controls in multi-jurisdictional contexts.
- Must be based in San Francisco
Culture & Benefits
- Culture of ownership and "founder-like energy" with a focus on high impact and accelerated learning.
- Opportunity to tackle complex, high-visibility problems within a globally distributed team.
- Environment that encourages using AI to work smarter and solve problems faster.
- Commitment to diversity and equal opportunity employment.
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