Lead Engineer – Data Platform

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 brandnew nextgeneration data platform to power both quantitative research and live trading. This is a highimpact longterm 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 highperformance engineering team including mentoring and career development.
• Define and deliver the data platform roadmap balancing business and technical priorities.
• Develop robust maintainable and highperforming 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 buyside 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.
• Handson 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 largescale change while iterating safely (rollouts learning from outcomes adjusting direction).
• Strong problemsolving mindset with high attention to detail including rootcause analysis.
• University degree in Computer Science or a related discipline.
• Fluency in written and spoken English.