Lead Engineer: This is a technology lead role within the Global Customer Data Department at StoneX. This role will actively collaborate with other technology leads for delivery of ongoing data projects. As a contributing senior data engineer and a tech lead the role will assist in architecting, designing and implementing components within our cloud data platform for ongoing operations and new data projects.

• Contribute and lead a team deliverable within define project scope with attention to detail for both data and technical aspects.
• Understands system protocols, how systems operate and data flows. Aware of current and emerging technology tools and their benefits. Understands the building blocks, interactions, dependencies, and tools required to complete data transformation, data storage and data distribution.
• Engage with other team leads to implement data management program with high quality.
• Strong focus on innovation and enablement, contributes to designs to implement data pipelines for structured and unstructured data and deliver effective and efficient technical solution.
• Ability to understand capital market business problems, study and transform data as needed.
• In collaboration with other leads define key data domains and attributes to help standardize the data model to drive data quality across the global enterprise.
• Contribute toward improving data quality of StoneX strategic data assets.
• Oversee the day to day operations of the junior data team members, participate in scrum and sprint rituals.

• 5+ years of experience in Data Architecture, Data Engineering 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 in leading a small team of highly qualified technical performers is desired.
• Experience facilitating discussions and resolving issues across a diverse set of cross functional business & IT stakeholders.
• Foundation knowledge of Data Structures, Algorithms and Designing for performance.
• Proficiency in Python and working knowledge of PySpark.
• Experience with databricks desired.
• 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