Data Modeler / Informaitonal Architect

Data Modeler / Informaitional Architect Head count: 1 at Jersey City (Primary) Jersey City NJ - 07310, Columbus office (Secondary) - Columbus OH 43240 Start date: October 15, 2025 Job Responsibilities Executes data architecture solutions and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces data architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Models datasets and registers them the firm’s data catalog (JADE) Evaluates data architecture designs and provide feedback on recommendations. Represent their team in architectural governance bodies Leads the data architecture team in evaluating new technologies using existing data standards and framework to influence progress to modern architecture Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of data frameworks, applications, and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to data architecture communities of practice and events that explore new and emerging technologies Qualifications Strong knowledge of one or more software applications and data architecture development. Ability to evaluate current technologies to recommend ways to optimize data architecture. Hands-on practical experience in system design, application development, testing and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as Continuous Integration/Delivery, Application Resiliency and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., Cloud, AI/ML, mobile, etc.) Familiarity with modern front-end technologies E-Solutions