High Performance Data Leader

Job Description

We are seeking an experienced professional to lead our high-performance data team. As a key member of our organization, you will be responsible for driving the technical vision for our real-time streaming platform that powers critical trading infrastructure.

Your Role

- Lead and scale a specialized data & platform engineering team of talented developers
- Drive architecture decisions for real-time streaming platforms and trading infrastructure
- Spearhead the development of scalable data ingestion pipelines handling high-volume trade and market data
- Collaborate cross-functionally with Product, QA, and Support teams

Requirements

- Industry Depth : 10+ years of progressive software engineering experience with significant focus on data platforms, streaming systems, or high-throughput distributed architectures
- Data Platform Expertise : 5+ years building and scaling real-time data platforms, streaming architectures, or event-driven systems, with a deep understanding of data consistency, backpressure handling, and fault tolerance patterns
- Team Leadership : 4+ years successfully managing and growing engineering teams of 8- 10 developers, with experience hiring specialized data engineers and platform architects during rapid scaling phases
- System Complexity : Proven track record of architecting and delivering mission-critical data infrastructure that processes high-volume, low-latency data streams with strict reliability and accuracy requirements
- Financial Domain Impact : Experience working with trading systems, financial data feeds, risk management platforms, or other latency-sensitive financial infrastructure where data accuracy and timing are paramount

Key Skills

- Streaming & Event Processing : Expert-level experience with Apache Kafka, Apache Flink, and modern stream processing frameworks, including complex event processing, windowing operations, and exactly-once semantics
- Data Engineering Mastery : Deep expertise in building data pipelines, ETL/ELT processes, data modeling for real-time analytics, and handling both structured and unstructured data at scale
- Java & JVM Ecosystem : Advanced proficiency in Java (11+) and JVM performance tuning, with experience building high-throughput applications that handle thousands of transactions per second
- Cloud-Native Data Architecture : Extensive hands-on experience with FOSS data stack as well as cloud data, containerization of stateful services, and cloud-native data storage solutions
- Database & Storage Systems : Expert knowledge of both SQL and NoSQL databases, time-series databases, distributed caching, and storage optimization for high-frequency data
- Microservices & APIs : Strong experience in designing event-driven microservices, implementing robust API gateways, handling service mesh complexity, and managing inter-service communication patterns in distributed data systems
- Platform Reliability : Deep understanding of observability frameworks, distributed tracing, metrics collection, alerting strategies, and building self-healing systems that maintain high availability
- AI-Assisted Development : Experience leveraging modern AI coding tools to accelerate development workflows, improve code quality, and enhance team productivity while maintaining security and best practices

Culture Fit

- Data-Driven Customer Focus : Genuine passion for understanding how data serves end-users and translating business requirements into scalable data solutions
- Platform Ownership & Accountability : Demonstrated history of taking end-to-end ownership of data platforms and trading systems, from initial architecture through production operations
- Innovation with Reliability : Ability to balance cutting-edge data technologies with the stability requirements of financial systems, making thoughtful decisions about when to adopt new streaming technologies versus proven solutions
- Cross-Domain Collaboration : Natural ability to build consensus between engineering, trading, risk management, compliance, and business intelligence teams
- Continuous Learning Mindset : Passionate about staying current with evolving data engineering landscape, financial technology trends, and regulatory requirements
- Bias for Action with Precision : Comfortable making architectural decisions with incomplete information while maintaining precision and accuracy required for financial data processing

Nice to Have

- Fintech Trading Systems : Deep understanding of trading infrastructure, market data feeds, order management systems, risk management platforms, and the unique challenges of building real-time financial data processing systems
- PAMM/MAMM Experience : Direct experience building or maintaining Percentage Allocation Management Modules, Multi-Account Manager systems, Copy Trading platforms, or Introducing Broker infrastructure
- High-Frequency Data Processing : Experience with ultra-low-latency systems, real-time market data processing, algorithmic trading support, or other performance-critical applications where microseconds matter
- Regulatory & Compliance : Understanding of financial services regulations, data governance requirements, audit trails, and compliance reporting for trading platforms
- Global Trading Infrastructure : Experience building systems that handle multiple asset classes, serve international markets, manage complex regulatory requirements across jurisdictions, and handle diverse market data formats

What We Offer

- Competitive compensation package
- Opportunity to work on challenging projects
- Collaborative and dynamic work environment
- Professional development opportunities

How to Apply

If you have the skills and qualifications we're looking for, please submit your application with a cover letter and resume.

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