Lead - IT Data Engineering and Analytics

Overview (Section Header)

Connecting clients to markets – and talent to opportunity

With 4,300 employees and over 400,000 retail and institutional clients from more than 80 offices spread across five continents, we're 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.

Whether you want to forge a career connecting our retail clients to potential trading opportunities, or ingrain yourself in the world of institutional investing, The StoneX Group is made up of four segments that offer endless potential for progression and growth.

Position Purpose: The Tech Lead - Data Engineering is responsible for empowering the Data team to achieve its primary objectives: ingesting, mastering and exposing real-time, event-driven data streams pertaining to the essential relational data dimensions that are crucial to the evolution and continued success of StoneX Group Inc. This position is responsible for leading, managing, and motivating reports in the Data department to harness and leverage the firm's data assets. 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 and empowering others to do so as well. 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. This role will actively collaborate with various streams to deliver source, shape, and deliver data effectively to empower business lines to make data driven decisions. Establishes and implements processes, standards, and KPIs for Data Engineering, Statistical Analytics, Business Intelligence, with attention to all technical aspects.

Primary Accountabilities/Responsibilities:

• Establishes team deliverables, project scope with attention to details both for data and technical aspects.
• Prioritizes and executes rapid raw data collection from source systems, targets and implements efficient storage of, employs fast and reliable access patterns.
• Master Data Management concepts and implementation.
• 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.
• 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.
• Creates, fosters and facilitates a team-oriented culture that focuses on efficient and effective delivery, individual development and ownership.
• Drives team practices and procedures to achieve repeatable success and defined expectation of services
• 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.
• 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.

Job Requirements:

• 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

Ability to work and lead in an Agile methodology environment