Build and maintain internal data application tools and frameworks for a centralized cloud data lake. Collaborate with cross-functional teams and Data Engineers to add features and maintain Go-based data pipelines. Improve platform architecture for scalability, observability, and reliability while sharing knowledge and mentoring teammates.

Design, build, and operate scalable, reliable data pipelines and services (Go/Scala) to power internal data products. Partner with engineers, analysts, and product stakeholders to model datasets, improve data platform architecture, ensure data quality and observability, and support AI/LLM-enabled features. Lead design reviews, mentor teammates, and collaborate globally on ingestion, governance, and production operations.

Build and operate scalable data pipelines and services to power internal products. Design data models, curate high-quality datasets, collaborate with cross-functional teams, and mentor engineers while improving platform reliability, observability, and AI-ready data layers.