Tech Lead - Data Engineering

Overview

Permanent, full-time, hybrid (3 days per week in an office)  

About StoneX

Innovative, future-focused and collaborative, StoneX Group Inc. (NASDAQ: SNEX) is a global financial services firm with an entrepreneurial culture and a passion for providing world-class services to our clients. A Fortune-100 company with a nearly 100-year track record, with 3,900 employees and over 400,000 retail and institutional clients from more than 80 offices spread across six continents, we connect clients to the global markets – focusing on innovation, human connection, and providing world-class products and services to all types of investors. 

About the Team

This is a Tech Lead role that will focus on overall technical delivery to empower data driven dicisions, reports and processes from data lake and Customer Data Hub. This position will focus heavily on utilizing advanced techniques and cutting-edge technologies around data mastering specific dimensional data and exposing it rapidly to internal and external consumers. The ideal candidate will exhibit passion for continuous improvement and a dedicated focus on enabling our consumers to achieve their goals and make data driven decisions. 

Responsibilities

• Understands system protocols, how systems operate and data flows. Aware of current and emerging technology tools and their benefits.
• Expected to independently develop a full software stack.
• Understands the building blocks, interactions, dependencies, and tools required to complete software and automation work. Independent study of evolving technology is expected.
• Master Data Management concepts and implementation.
• Strong focus on innovation and enablement, contributes to designs to implement new ideas which improve an existing and new system/process/service. Understands and can apply new industry perspectives to our existing business and data models.
• Reviews existing designs and processes to highlight more efficient ways to complete existing workload more effectively through industry perspectives.
• Maintains knowledge of existing technology documents. Writes basic documentation on how technology works using collaboration tools like Confluence.
• Creates clear documentation for new code and systems used. Documenting systems designs, presentations, and business requirements for consumption and consideration at the manager level.
• Collaborates with technical teams and utilizes system expertise to deliver technical solutions. Continuously learns and teaches others existing and new technologies. Contributes to the development of others through mentoring or in-house workshops and learning sessions.
• Drives team practices and procedures to achieve repeatable success and defined expectation of services
• Provides a significant collaborative role in long-term department planning, with focus on initiatives achieving data empowerment, operational efficiency and sustainability
• Monitors and evaluates overall strategic data infrastructure; tracks system efficiency and reliability; identifies and recommends efficiency improvements and mitigates operational vulnerabilities
• Engage with business users to implement data management program enabling them to manage transaction, static and master data efficiently with high quality.
• Coordinate with other teams within Data Services and broader business partners to ensure providing quality data in coordination with established business needs

Qualifications

• 8+ years of experience in Data Architecture, Data Management and/or Production Support across large enterprises.
• 3 years of hands on Data Engineering or Software Development experience in capital markets / trading industry
• Strong understanding of Enterprise architecture patterns, Object Oriented & Service Oriented principles, design patterns, industry best practices
• Experience facilitating discussions and resolving issues across a diverse set of cross functional business & IT stakeholders.
• Leadership & persuasive communication skills. Strong influencing and mentoring skills; demonstrated success in building credibility with peers and key stakeholders (Both IT & Business) to drive the action and change.
• Foundation knowledge of Data Structures, Algorithms and Designing for performance.
• Proficiency in Python and one object-oriented programming language among C#, Java
• Experience in database technology like MSSQL or Postgres or MySQL and one of key value and document databases like MongoDB, DynamoDB, Casandra
• Excellent communications skills and ability to wok with business to extract critical concepts and transform into technical task items