Data Architect

This role sits at the core of our trading infrastructure. As a Data Architect you will design scalable low-latency and highly reliable data systems that support both live trading and large-scale research. You will own the architectural vision for the Market Data Lakehouse ensuring that all components built by the data engineering team integrate into a cohesive efficient and production-grade environment.
The position requires strong technical leadership and a deep understanding of financial market data including its structure quality challenges and performance requirements. You will work closely with researchers trading teams and engineers enabling fast experimentation while maintaining strict reliability governance and operational standards.
This is a high-impact role with significant ownership and influence over BHFTs trading technology stack.

Key Responsibilities

• Architect and standardize streaming and batch pipelines ensuring reliability fault tolerance and scalability.

• Own the architecture and evolution of the Data Lakehouse ensuring consistency between research (offline) and live trading (online) environments.

• Define and own the end-to-end architecture for the market data platform covering ingestion processing storage distribution and access.

• Design scalable low-latency systems for real-time and historical market data across multiple global exchanges and asset classes.

• Establish data models schemas storage strategies and technology choices optimized for high-volume time-series financial data.

• Provide architectural leadership across the full development lifecycle including design reviews standards and technical integration of team deliverables.

• Collaborate closely with quantitative researchers trading and engineering teams to enable fast experimentation and reliable production deployment.

• Drive performance optimization capacity planning and long-term scalability of the data ecosystem.

• Document architectural decisions and maintain technical roadmaps to ensure high engineering standards and platform consistency.

Qualifications :

• Deep understanding of market data (tick order book trades reference derivatives) and its use in HFT/MFT and systematic trading environments.

• Strong financial markets background to make informed architectural decisions on storage engines schemas and latency trade-offs.

• Proven expertise in distributed data systems (streaming batch and hybrid architectures) and scalable storage formats.

• Experience designing and operating low-latency production-critical data pipelines with strict SLAs.

• Advanced data modeling skills particularly for large-scale time-series financial datasets.

• End-to-end architectural vision across ingestion processing storage serving and feature computation layers.

• Experience architecting and integrating Feature Stores with consistency between offline research and online trading systems.

• Strong ownership of data quality governance monitoring lineage and observability frameworks.

• Ability to evaluate trade-offs (latency vs cost flexibility vs performance consistency vs availability) and make structured architectural decisions.

• Technical leadership capability: setting standards reviewing designs mentoring engineers and ensuring cohesive integration across teams.

Additional Information :

We Offer

• Working in a modern international technology company without bureaucracy legacy systems or technical debt.
• Excellent opportunities for professional growth and self-realization.
• We work remotely from anywhere in the world with a flexible schedule.
• We offer compensation for health insurance sports activities professional training and more.

Remote Work :

Yes

Employment Type :

Full-time