Lead Engineer – Data Platform
# Lead Engineer – Data Platform **IO Tech Solutions Limited** · Hong Kong · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Lead-Engineer]` `[Data-Engineer]` `[Data-Platform-Engineer]` `[Platform-Engineer]` `[Lead-Data-and-AI-Platform-Engineer]` `[Data-Platform-Lead]` `[Lead-Data-Engineer]` `[Senior-Lead-Data-Engineering]` `[Senior-Data-Management-Platform-Engineer]` `[Lead-Platform-Engineer]` `[Lead-Data-Engineering]` `[Data-Engineering-Lead]` --- ### About the Role Global proprietary trading firm with over a decade of success across equity derivatives, delta one, ETFs, commodity derivatives, and crypto. Technology drives our trading strategies, and we are building a brand‑new, next‑generation data platform to power both quantitative research and live trading. This is a high‑impact, long‑term role – not incremental fixes to legacy systems. What You Will Do - Ensure reliability, uptime, and effective capacity planning for all data workloads. - Drive performance optimizations across both hardware and software for research and regulatory data retention. - Design and implement a centralized data framework and the supporting applications. - Manage, maintain, and expand dedicated hardware infrastructure for data systems. - Partner with researchers, traders, and engineers to align data workflows with business needs. - Build and lead a high‑performance engineering team, including mentoring and career development. - Define and deliver the data platform roadmap, balancing business and technical priorities. - Develop robust, maintainable, and high‑performing data pipelines. - Standardize ingestion, schema management, lineage, permissions, and audit processes. - Investigate upstream data sources, identify root causes of data issues, and implement sustainable fixes. What You Offer - 10+ years of experience delivering production data platforms, with 2+ years leading and mentoring engineering teams. - Prior experience in quant trading, proprietary trading, or a buy‑side financial firm – this is essential. - Proven ability to design, scale, and optimize data pipelines and distributed systems in production. - Deep data platform fundamentals: batch and streaming processing, scalable table/metadata formats, object storage, and SQL. - Hands‑on experience building scalable ingestion and orchestration (scheduling, dependency management, backfills, recovery). - Experience with modern data architecture patterns and tradeoffs across performance, reliability, and cost. - Solid understanding of data storage and file/table lifecycle management. - Ability to make architectural decisions across IT solutions, system design, and implementation – ensuring maintainability and extensibility. - Demonstrated track record of improving reliability and operational excellence for data systems. - Excellent stakeholder communication skills with strong roadmap ownership. - Ability to drive large‑scale change while iterating safely (rollouts, learning from outcomes, adjusting direction). - Strong problem‑solving mindset with high attention to detail, including root‑cause analysis. - University degree in Computer Science or a related discipline. - Fluency in written and spoken English. Originally posted on Himalayas
- Lead-Engineer
- Data-Engineer
- Data-Platform-Engineer
- Platform-Engineer
- Lead-Data-and-AI-Platform-Engineer
- Data-Platform-Lead
- Lead-Data-Engineer
- Senior-Lead-Data-Engineering
- Senior-Data-Management-Platform-Engineer
- Lead-Platform-Engineer
- Lead-Data-Engineering
- Data-Engineering-Lead
Наблюдалась 2026-10-11, впервые 2026-10-10, источник — Himalayas (JSON API).