Senior Staff - IT Data Engineering and Analytics

Overview Connecting clients to markets and talent to opportunity With more than 5,400 employees serving over 80,000 commercial, institutional, and payments clients, and more than 400,000 retail accounts, from more than 80 offices spread across six continents, were a Fortune-500, Nasdaq-listed provider, connecting clients to the global markets focusing on innovation, human connection, and providing world-class products and services to all types of investors. At StoneX, we offer you the opportunity to be part of an institutional-grade financial services network that connects companies, organizations, and investors to the global markets ecosystem. As a team member, you'll benefit from our unique blend of digital platforms, comprehensive clearing and execution services, personalized high-touch support, and deep industry expertise. Elevate your career with us and make a significant impact in the world of global finance. Business Segment Overview: Corporate: Engage in a deep variety of business-critical activities that keep our company running efficiently. From strategic marketing and financial management to human resources and operational oversight, youll have the opportunity to optimize processes and implement game-changing policies. Responsibilities Position Purpose: The Global Data Distribution (GDD) team at StoneX is seeking a Senior Staff Engineer to lead and scale the operational excellence of our Global Data Distribution (GDD) platform. In this role, youll own critical infrastructure reliability, mentor Data Reliability engineers, manage DR readiness, and ensure platform compliance with SOX, internal audits, and incident governance. You will drive automation, observability, and incident lifecycle management across our Azure-based, hybrid-cloud data ecosystemsanchored by Databricks, Airflow, and cloud-native technologies. This role is a senior technical leadership position with partial people management, requiring a proactive, process-oriented mindset and deep expertise in cloud data platform. Primary duties will include: Core Development Skills Expert-level proficiency in C# and .NET Framework/.NET Core (.NET 6/7/8) Strong experience in Object-Oriented Design (OOD) and Design Patterns Advanced knowledge of ASP.NET Core, Web APIs, RESTful services Strong understanding of Multithreading, Asynchronous Programming, and Performance Optimization Experience with Microservices Architecture and distributed systems Strong debugging, code profiling, and troubleshooting skills Database & Data Engineering Expertise in Microsoft SQL Server Advanced SQL query optimization and performance tuning Experience with stored procedures, indexing, partitioning, and database design Knowledge of NoSQL databases (MongoDB, Cassandra, Redis) is preferred Experience handling large-scale market and risk datasets Hands-on experience with Databricks for large-scale data processing, including Spark-based ETL/ELT pipelines, Delta Lake, and Unity Catalog Modern data engineering skills, including workflow orchestration (Airflow), data pipeline design, data quality/observability, and building scalable batch and streaming data platforms Artificial Intelligence & Machine Learning Experience integrating AI/ML models into data platforms, automation workflows, and risk applications Exposure to Large Language Models (LLMs) and Generative AI frameworks (e.g., Azure OpenAI, LangChain, Copilot) Experience applying AI-driven observability, anomaly detection, and intelligent automation to platform reliability Familiarity with responsible AI principles and model governance in a regulated financial services environment Cloud & DevOps Experience with cloud platforms such as Azure or AWS CI/CD implementation using Azure DevOps, GitHub Actions, or Jenkins Containerization using Docker and Kubernetes Messaging & Integration Experience with messaging frameworks: Kafka/Redpanda RabbitMQ MQ Series Service-oriented architecture and event-driven design Risk Technology & Financial Domain Knowledge Market Risk : VaR (Value at Risk), Stress Testing, Expected Shortfall, Sensitivity Analysis (Greeks), Trading and Position Risk Monitoring Credit Risk : PD, LGD, EAD Models, Counterparty Credit Risk, Exposure Calculations, Credit Limit Monitoring Liquidity Risk: Liquidity Coverage Ratio (LCR), Net Stable Funding Ratio (NSFR), Architecture & Engineering Practices Domain-Driven Design (DDD) Event-Driven Architecture API Management and Governance Secure Software Development Lifecycle (SSDLC) SOLID Principles and Clean Architecture System Design and Scalability Patterns Tools & Technologies Visual Studio Git/GitHub/Bitbucket Azure DevOps Jira/Confluence Splunk/AppDynamics/Dynatrace Swagger/OpenAPI Primary duties will include: Technical Leadership Lead the design, development, and support of enterprise-scale Risk Technology .