Teammate reports to the Chief Architect for Core Technology. They will focus on system architecture elements consumed enterprise-wide with a focus on the operational data elements of technical infrastructure required to accelerate hybrid cloud transformation. Leads in the development of enterprise architecture principles, patterns, standards, and practices for operational data products and their incorporation into infrastructure platforms and utilization by the application portfolio as well as adherence to those practices. Partners closely with operational data Product Line Executive in the architecture, design, and stakeholder management of CIO level cross-functional delivery teams (Tech Delivery and Operations, Business, Risk, Cyber, Data) as well as support organizations (HR, finance, etc.) to drive product innovation & optimization to ensure the delivery of secure resilient application consumable solutions to the customer. Applies advanced knowledge of banking technology and IT architecture principles to identify and evaluate alternatives across the constantly evolving landscape of operational data architectures and solutions. Leads the selection of methodologies, tools, and components for the operational data elements of total IT solutions. The successful Operational Data Enterprise Architect: Provides guidance and support for solution architects on the implementation of operational data within complex architectural patterns on a variety of multi-platform systems; Develops operational data architecture plans and reviews cost and feasibility of alternatives while ensuring the plan supports the strategic needs of the company; Interprets internal/ external business challenges and recommends best practices on selecting and adopting operational data solutions; Uses sophisticated analytical thought to exercise judgment and identify innovative solutions; Designs strategies for enterprise online transactional processing (OLTP) databases; Sets standards for database operations, programming, query processes, and security; Contributes to the model, design, and construction of large relational and non-relational databases in traditional distributed and cloud native environments; Creates and optimizes data models for performance and functionality.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees