Senior Data Engineering Specialist (Hybrid)
Core
Design and develop scalable data engineering solutions for mission-critical trade reporting, monitoring, and analytics platforms processing tens of billions of trade events daily.
Role type
Senior IC data engineering specialist (Director level)
Builds
Large-scale distributed data platforms, high-performance database systems, and data pipelines for institutional securities technology
Domain
Financial services / Trade data processing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Java, C++, Perl, SQL, Snowflake, Databricks, SingleStore, Apache Spark, Apache Kafka, Linux, distributed systems, event-driven architectures, data modeling, performance tuning, capacity planning
Preferred skills
Machine learning, AI-based techniques, platform modernization, technical leadership, stakeholder influence
Technologies
Snowflake, Databricks, SingleStore, Apache Spark, Apache Kafka
Responsibilities
Design scalable data engineering solutions; build and maintain high-performance database systems and data pipelines; develop software solutions to automate data processing; optimize large-scale distributed data platforms; design data models and implement complex SQL solutions; lead technical planning for platform migrations and infrastructure modernization; champion engineering excellence and best practices; influence technical direction across multiple platforms; support real-time and event-driven architectures
Seniority
Senior, hands-on IC with strategic influence (Director level)
