Principal Engineer

Overview

Connecting clients to markets and talent to opportunity

With 4300 employees and over 400000 retail and institutional clients from more than 80 offices spread across five continents were a Fortune-100 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 youll 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:

The Enterprise Data & Technology (EDT) team supports a wide variety of data assets and technologies in support of StoneX business initiatives for institutional and retail customers while providing data services to almost all areas of the organization. Reporting to the Chief Data Officer the EDT organization serves multiple internal stakeholders.

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.

Job Purpose and Responsibilities

Position Purpose: The Principal Engineer plays a critical role in defining and advancing StoneXs global technology landscape. The role emphasizes enterprise-scale data architecture resiliency and innovation while ensuring alignment with business objectives. A Principal Engineer is expected to influence not only engineering teams but also senior leadership decisions ensuring that technology investments drive long-term value.

Technology Ecosystem:

• Front-End: Power BI
• Back End: Python PySpark SQL Databricks SQL Server Profisee RedPanda (Kafka) OpenAPI Airflow Dynamics
• Architecture: Data Warehousing Microservices CI/CD tools such as Jenkins/Github Docker Kubernetes
• Cloud: Microsoft Azure

Primary duties will include:

• Define enterprise-wide technical strategy and reference data architectures.
• Architect and deliver highly scalable resilient and secure platforms across cloud and hybrid environments.
• Standardize data and engineering practices across global teams.
• Partner with senior stakeholders to align technology investments with business outcomes.
• Drive adoption of emerging technologies and evaluate their enterprise applicability.
• Monitor and optimize data infrastructure performance ensuring reliability scalability and operational efficiency.
• Act as escalation point for mission-critical engineering challenges.
• Mentor and coach junior through lead engineers raising the overall technical bar.
• Represent StoneX externally through conferences publications or partnerships.

Qualifications:

To land this role you will need:

• 10 years of professional experience in data engineering with at least 45 years in leadership roles.
• Proven expertise designing and scaling enterprise-grade data platforms in cloud environments (Azure preferred).
• Advanced proficiency in data engineering distributed systems or domain-specific technologies.
• Hands-on expertise with streaming real-time processing (RedPanda/Kafka) and customization of CI/CD tools.
• Strong hands-on experience with Python PySpark Databricks and SQL for data transformation and analysis.
• Strong understanding of architecture data governance and system resiliency.
• Exceptional leadership communication and influence skills.

What makes you stand out:

• Experience in financial services capital markets or similarly complex data/transaction-heavy environments.
• Experience integrating MDM platforms such as Profisee and CRM systems like Microsoft Dynamics.
• Advanced certifications in Azure Databricks or enterprise architecture frameworks.
• Awareness of data governance principles agile software development and incident management.
• Knowledge of Power BI to support front-end development.
• A proactive mindset that seeks continuous improvement in data quality system efficiency and team productivity.
• Demonstrated thought leadership through community engagement publications or patents.

Education / Certification Requirements:

• Bachelors or Masters degree in Computer Science Engineering Mathematics or a related technical discipline.
• Azure Data Engineer or equivalent certification demonstrating cloud data engineering proficiency.
• Databricks Certified Data Engineer (Professional) to validate expertise in big data platforms.
• Additional certifications in data warehousing MDM or enterprise architecture are considered highly beneficial.

Working environment:

• Hybrid (as per RTO policy)
• Globally distributed team across US India and Poland
• Travel: minimal expected as per needs