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, we’re 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, you’ll 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, you’ll 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 ecosystems—anchored 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: 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 Qualifications To land this role you will need: 7–10+ years of software development experience. 3+ years leading teams in financial services, investment banking, capital markets, or trading organizations. Experience developing Risk, Regulatory, Trading, or Middle-Office technology platforms. Exposure to large-scale risk engines, pricing systems, and real-time market data platforms. Experience working with global distributed teams and stakeholders. Nice-to-Have Skills Python for analytics and risk calculations Databricks/Spark Quantitative finance exposure AI/ML applications in Risk Management Low-latency trading or risk systems Exposure to OpenTelemetry and modern observability platforms Ideal Profile: Senior Technical Lead who combines deep C#/Python engineering expertise, financial risk domain knowledge, solution architecture capabilities, and people leadership experience to deliver mission-critical Risk Technology platforms in a regulated financial environment