We’re looking for an experienced Team Lead to lead our newly established Data Systems Team. The team will build our next-generation data platform for both research and real-time trading, spanning orchestration, storage, data access, and governance at scale. By delivering reliable and consistent solutions, the team will support a wide range of stakeholders across the company, including engineers, researchers, and traders. As a Team Lead, you’ll set the vision for a centralized data framework and drive seamless orchestration, storage, and access across a wide range of datasets. This is a high-impact, long-term role focused on building new infrastructure and a new team—not applying incremental fixes to legacy systems. It also blends leadership with architecture and hands-on engineering to deliver robust, maintainable, and high-performing solutions across both hardware and software. This is an onsite role located in Hong Kong, Shanghai or Sydney (with authorization to work in Shanghai or Sydney). Responsibilities and Duties - Build and lead a high-performance Data Systems Team, including mentoring and career development. - Define and deliver Eclipse’s data platform roadmap, balancing business and technical priorities. - Design and implement a centralized data framework and the supporting applications. - Develop robust, maintainable, and high-performing data pipelines. - Drive performance optimizations across both hardware and software for quant research and regulatory data retention. - Manage, maintain, and expand dedicated hardware infrastructure for data systems. - Ensure reliability, uptime, and effective capacity planning for data workloads. - Partner with stakeholders across research, trading, and engineering to align data workflows with business needs. - Standardize ingestion, schema management, lineage, permissions, and audit processes. - Investigate upstream data sources, identify root causes of data issues, and implement sustainable corrective actions. What you offer - 10+ years of experience as a Data Systems Engineer delivering production data platforms, with 2+ years leading and mentoring engineering teams. - Proven ability to design, scale, and optimize data pipelines and distributed systems in production. - Deep data platform fundamentals, including batch and streaming processing, scalable table/metadata formats, object storage, and SQL. - Hands-on experience building scalable ingestion and orchestration workflows, g., reliable scheduling, dependency management, backfills, and recovery. - Experience with modern data architecture patterns and making 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 and the ability to align engineering delivery with business needs. - Ability to drive large-scale change while iterating safely—planning rollouts, learning from outcomes, and adjusting direction when required. - Strong problem-solving mindset with high attention to detail, including root-cause analysis of data/system issues. - Prior experience in quant trading or financial services is highly desirable. - University degree in Computer Science or a related discipline. - Fluency in written and spoken English.