Responsibilities: Develop and maintain applications using kdb+/q. Write efficient q queries for processing large volumes of financial market data. Build and maintain real-time and historical data platforms. Work with tick, RDB, HDB and ticker plant architectures. Design end-to-end KDB+ architecture for real-time and historical data platforms. Define architecture for ticker plants, RDB, HDB, gateways and feed handlers. Design scalable and highly available systems for large-volume market data. Lead KDB+ performance tuning, capacity planning and database optimisation. Requirements: Strong hands-on experience in KDB+ and q programming. Good understanding of KDB+ database architecture and data modelling. Experience with real-time market data and time-series data. Experience handling high-volume, low-latency financial market data. Strong knowledge of performance optimisation, partitioning and data storage. Proven experience designing tick, RDB, HDB and real-time data platforms.