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Data Systems Team Lead

Ashford Benjamin Ltd.
Sydney NSW

Apply Now

Job Details

20 hours ago

Qualifications

Management
Computer Science
English
SQL
Education
Bachelor's degree
Scalability
Financial services
Leadership
Communication skills

Full Job Description

My client is a proprietary trading firm founded by former technologists from a leading global trading firm. With over 120 employees across Asia, Australia, and the US, they trade derivatives, ETFs, crypto, and specialize in options market making. They operate a fully on-prem Linux environment with a modern tech stack. The culture is flat, collaborative, and international, with strong work-life balance and an open-door policy.

Role Overview

We are seeking an experienced Data Systems Team Lead to lead a newly established team building the firm’s next-generation data platform for both research and real-time trading. This is a greenfield build spanning orchestration, storage, data access, and governance at scale. The role blends leadership with architecture and hands-on engineering to deliver robust, maintainable, and high-performing solutions across both hardware and software. You will set the vision for a centralized data framework and drive seamless orchestration, storage, and access across a wide range of datasets.

Key Responsibilities:

Team Leadership: Build and lead a high-performance Data Systems Team, including mentoring and career development.
Roadmap Ownership: Define and deliver the data platform roadmap, balancing business and technical priorities.
Platform Architecture: Design and implement a centralized data framework and supporting applications.
Data Pipelines: Develop robust, maintainable, and high-performing data pipelines across batch and streaming.
Performance Optimization: Drive performance optimizations across both hardware and software for quant research and regulatory data retention.
Infrastructure Management: Manage, maintain, and expand dedicated hardware infrastructure for data systems.
Reliability: Ensure reliability, uptime, and effective capacity planning for data workloads.
Stakeholder Collaboration: Partner with stakeholders across research, trading, and engineering to align data workflows with business needs.
Data Governance: Standardize ingestion, schema management, lineage, permissions, and audit processes.
Issue Resolution: Investigate upstream data sources, identify root causes of data issues, and implement sustainable corrective actions.

Required Skills & Experience:

Experience: 10+ years as a Data Systems Engineer delivering production data platforms, with 2+ years leading and mentoring engineering teams.
Pipeline Engineering: Proven ability to design, scale, and optimize data pipelines and distributed systems in production.
Data Platform Fundamentals: Deep expertise in batch and streaming processing, scalable table/metadata formats, object storage, and SQL.
Orchestration: Hands-on experience building scalable ingestion and orchestration workflows (e.g., reliable scheduling, dependency management, backfills, and recovery).
Architecture: Solid understanding of modern data architecture patterns and making tradeoffs across performance, reliability, and cost.
Storage Management: Understanding of data storage and file/table lifecycle management.
System Design: Ability to make architectural decisions across IT solutions, system design, and implementation—ensuring maintainability and extensibility.
Operational Excellence: Demonstrated track record of improving reliability and operational excellence for data systems.
Communication: Excellent stakeholder communication skills, with strong roadmap ownership and ability to align engineering delivery with business needs.
Change Management: Ability to drive large-scale change while iterating safely—planning rollouts, learning from outcomes, and adjusting direction when required.
Problem-Solving: Strong problem-solving mindset with high attention to detail, including root-cause analysis of data/system issues.
Industry: Prior experience in quant trading or financial services is highly desirable.
Education: University degree in Computer Science or related discipline.
Language: Fluency in written and spoken English.

Please send your CV to Sarah Fan at [email protected], or call +852 2315 9512 for a confidential discussion.

Apply Now

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