Big Data & Infrastructure Engineer (Time-Series Specialist)

**Fluent Trade Technologies** is a global fintech software firm at the forefront of providing state-of-the-art technology to the world's largest global banks and hedge funds. Specializing in ultra low-latency strategy and market data solutions, Fluent is committed to delivering cutting-edge innovations to the Financial Industry. With a prominent Israeli R&D center in Jerusalem and global development centers, Fluent is a dynamic and collaborative environment. Learn more about us at[www.fluenttech.net](http://www.fluenttech.net/). We are seeking a **Big Data & Infrastructure Architect** to spearhead the data architecture for our new FX Trading Analytics platform. You will be the primary authority on the big-data engine that powers real-time and historical analysis of liquidity, fill ratios, and market impact. This is a **foundational role** where you will select, implement, and optimize the "brain" of our analytics suite. The position is a remote position based in Ukraine. **Key Responsibilities:** - **Architecture & Tool Selection:** Evaluate and select the optimal Big Data/NoSQL engine to handle high-frequency FX market data and trade execution logs. - **Infrastructure Ownership:** Own the end-to-end installation, configuration, scaling, and long-term maintenance of the database environment. - **System Design & Configuration:** Design the database schema and storage strategy to support massive datasets while ensuring high availability and resilience. - **Query & Performance Optimization:** Build and tune complex time-series queries (calculating metrics like Effective Spread and Last Look Hold Times) to ensure sub-second responses for real-time monitoring tools. - **Knowledge Leadership:** Act as the subject matter expert, training GUI developers and team members on best practices for efficient data retrieval and interaction with the data layer. - **Technical Collaboration:** Work closely with the team leader and GUI developers to ensure the data infrastructure perfectly supports the product requirements. - Deep knowledge of at least one industry-leading Big Data or Time-Series database (e.g., ClickHouse, InfluxDB or ScyllaDB/Cassandra). - Proven experience managing "high-velocity" data environments (streaming ticks, execution logs, and order book events). - Strong proficiency in writing and optimizing complex queries for massive datasets (billions of rows). - Extensive experience in a Linux-heavy environment with a focus on system-level performance and low-latency tuning. - Ability to translate business metrics into efficient data structures without necessarily writing application-level code. - Excellent English communication skills. **Advantages:** - Experience in the financial industry (FIX protocol, FX trading, etc.). - Background in high-performance hardware/software integration. - Experience with scripting for automation (Python, Bash)