Engineering Manager, Data Knowledge Platform (Fintech)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Engineering Manager, Data Knowledge Platform (Fintech): Building and evolving the foundational data and AI infrastructure to enable real-time analytical processing at petabyte scale with an accent on AI agent-ready architecture and governance. Focus on modernizing the core data ecosystem, scaling engineering teams, and integrating real-time data serving capabilities.
Location: 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
- Define and execute a 1-3 year strategic roadmap for the Realtime Data Platform.
- Lead the modernization of the core data platform to support real-time analytical processing at petabyte scale.
- Scale and structure engineering teams by hiring new talent and mentoring managers and senior ICs.
- Partner with product teams to enable AI-powered applications and real-time dashboards.
- Serve as a trusted technical advisor on Data and AI strategies across the company.
Requirements
- 8+ years of experience in data or software engineering, with 3+ years in a leadership role.
- Proven experience managing and scaling engineering teams of 10+ people, including other managers.
- Deep expertise in distributed data processing (Apache Spark, Databricks) and event streaming (Kafka).
- Solid knowledge of data storage and serving technologies such as CubeJS, ElasticSearch, and Clickhouse.
- Experience with observability tooling including Splunk, Grafana, and Prometheus.
- Must be based in San Francisco
Nice to have
- Experience within the financial domain.
- Hands-on design experience with modern Lakehouse architecture.
- Ability to rapidly evaluate technologies and conduct proof of concepts for architecture design.
Culture & Benefits
- High-ownership environment with "founder-like energy" and a focus on real impact.
- Culture of using AI to work smarter and solve complex, high-visibility problems.
- Collaborative atmosphere with a global team of over 2,200 professionals.
- Commitment to diversity and equal opportunity based on merit and talent.
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