Design, build, and maintain scalable data pipelines, ETL/ELT processes, and backend data services using Python. Architect cloud-based data solutions, tune relational and NoSQL databases, and monitor pipeline performance. Provide technical leadership, mentor junior engineers, and collaborate with product and business teams to deliver data-driven insights for mortgage servicing.

Design, build, and deploy cloud-native, API-first mortgage servicing components using Java/Node.js and React. Collaborate with global teams to implement distributed, event-driven systems (Kafka), ensure performance, observability, CI/CD, and adherence to API standards and testing practices.

Lead translation of complex mortgage servicing business needs into scalable data and technology solutions. Perform business and data analysis, create user stories and system specifications, lead data mapping and system conversions, validate data models, support ETL/ELT and reporting, and collaborate with product, data engineering, architects, and software teams to enable data-driven decision-making.