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Director, Data and Knowledge Platform Engineering (Fintech)

Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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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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