Data Architect

GreatAmerica Financial Services is a highly successful entrepreneurial company providing equipment financing to businesses across the United States. Our exemplary customer service, our principle-centered business philosophy and our team-based operating approach are key to our success and growth. We are looking to add a Key Member to our Data Delivery Team! The Data Architect is responsible for design and delivery of the organization’s data infrastructure, including operational source systems, analytical platforms, data movement technology and architectural standards. This role balances technical excellence with business needs to deliver reliable, secure, and highly available solutions in a hybrid cloud environment. As a strategic technical leader, the Data Architect shapes enterprise-wide data architecture and guides long-term platform modernization initiatives. This role ensures that the data ecosystem supports scalability, governance, regulatory compliance, and advanced analytics capabilities, enabling the organization to use data as a strategic asset. We’re looking for a self-starting Data Architect who thrives both independently and, in a collaborative, team-based environment. This role is ideal for someone who isn’t afraid to speak up, share perspectives, and actively drive meaningful discussions. The right candidate will be someone who can mentor others while remaining [... source excerpt omitted ...] g it to life. We value architects who view technical debt as an opportunity for improvement and innovation, and who make pragmatic, business first decisions. As a Data Architect, you will: Develop and maintain conceptual, logical, and physical data models. Design scalable, end-to-end enterprise data architectures that support current and future business needs. Build, prototype, and optimize real-time and batch data pipelines using modern data integration tools and cloud services. Design and implement ETL/ELT processes to ensure seamless and reliable data movement across systems. Integrate diverse data sources across the enterprise using standardized patterns and frameworks. [... source excerpt omitted ...] al decisions, standards, and patterns. Implement data protection strategies, including access controls and data privacy measures. Ensure data architectures align with regulatory requirements and internal compliance standards. Evaluate and recommend emerging technologies to improve data management and platform capabilities. Architect and optimize cloud-native solutions leveraging Microsoft Azure services. Lead modernization initiatives, including migrations from legacy platforms to cloud-based solutions. Support scalability, performance tuning, and cost optimization of data platforms. Build strong relationships with business and technical stakeholders to understand evolving nee