Finance Technology Lead Data Engineer at Fifth Third Bank designs and builds data platforms, tools, and solutions to manage, secure, and derive value from data. The role creates scalable and reusable solutions for gathering, storing, processing, and serving data across small and large scales, including on-premises and cloud-based platforms. Domains include ETL, business intelligence, analytics, relational and NoSQL databases, data lakes, search, messaging, data warehousing, stream processing, and machine learning.

Responsibilities include designing, developing, and supporting data solutions, APIs, tools, and processes to enable rapid delivery of business capabilities; collaborating with IT application teams, Enterprise Architecture, Infrastructure, and LOB stakeholders to translate business and technical strategies into data-driven solutions; acting as a technical expert addressing problems related to system and application design, performance, integration, and security; conducting research on current trends in banking data engineering, data security, and related topics; building CI/CD pipelines, self-service build tools, and automated deployment processes; evaluating software products and providing documented recommendations; providing support and troubleshooting for data platforms, including on-call escalation for complicated incidents; participating in planning for hardware and software; leading internal projects such as legacy system replacement, monitoring and analytics improvements, tool development, and technical documentation; providing technical guidance and men

Finance Technology Lead Data Engineer at Fifth Third Bank designs and builds data platforms, tools, and solutions to manage, secure, and derive value from data. The role creates scalable and reusable solutions for gathering, storing, processing, and serving data across small and large scales, including on-premises and cloud-based platforms. Domains include ETL, business intelligence, analytics, relational and NoSQL databases, data lakes, search, messaging, data warehousing, stream processing, and machine learning.

Responsibilities include designing, developing, and supporting data solutions, APIs, tools, and processes to enable rapid delivery of business capabilities; collaborating with IT application teams, Enterprise Architecture, Infrastructure, and LOB stakeholders to translate business and technical strategies into data-driven solutions; acting as a technical expert addressing problems related to system and application design, performance, integration, and security; conducting research on current trends in banking data engineering, data security, and related topics; building CI/CD pipelines, self-service build tools, and automated deployment processes; evaluating software products and providing documented recommendations; providing support and troubleshooting for data platforms, including on-call escalation for complicated incidents; participating in planning for hardware and software; leading internal projects such as legacy system replacement, monitoring and analytics improvements, tool development, and technical documentation; providing technical guidance and men