Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Data Platform Engineer (AI): Designing and overseeing the architecture of a foundational data and AI platform to enable company-wide AI agent-ready infrastructure with an accent on scalability and governance. Focus on building multi-geographical data pipelines, integrating Lakehouse architecture, and mentoring high-performing engineering teams.
Location: Based in Singapore
Company
Unified payments and financial platform for global businesses empowering over 200,000 companies worldwide.
What you will do
- Oversee the strategy, architecture, development, and operation of data and AI platforms.
- Identify and resolve company-wide challenges using cutting-edge data platform solutions.
- Provide visionary technical direction and lead the resolution of complex technical problems hands-on.
- Advocate for best practices across the data platform to instill a culture of craftsmanship and innovation.
- Mentor the data platform team, nurturing both technical and professional development.
Requirements
- Minimum 8 years of experience in Data Platform or a quantitative field.
- Proven experience leading company-wide initiatives and influencing technical roadmaps.
- Technical leadership in ETL frameworks, metrics stores, infrastructure management, and data security.
- Proficiency in building and maintaining reliable multi-geographical data pipelines at scale.
- Familiarity with orchestration frameworks such as Airflow or DBT.
- Must be based in Singapore.
Nice to have
- Hands-on design experience with modern Lakehouse architecture.
- Experience with GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, and DataFlow.
- Ability to rapidly evaluate technologies and conduct proof of concepts for architecture design.
- Excellent communication skills tailored for leadership and company-wide audiences.
Culture & Benefits
- Founder-like energy environment with an emphasis on real impact and true ownership.
- Collaborative culture that values humility and the ability to turn zero-to-one ideas into products.
- High-growth environment backed by world-leading investors like Sequoia and Visa.
- Integration of AI tools into the daily workflow to solve problems faster and work smarter.
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