• Design, build, and support large-scale backend data pipelines on cloud data platforms (GCP/BigQuery) • Lead development and evolution of semantic layers, including universal / reusable semantic models that support multiple business domains and analytics tools • Design and maintain Analytical Data Store (ADS) data structures optimized for analytics, reporting, and advanced modeling. • Partner with multiple EDW product teams to ensure consistent data modeling, metric definitions, and access patterns • Drive platform reliability, scalability, and operational excellence across data products • Lead query performance tuning and cost optimization efforts (slot usage, partitioning, clustering, aggregates, workload management) • Support and modernize data orchestration frameworks • Implement and enforce data quality, validation, and monitoring frameworks • Perform deep root-cause analysis of data issues, pipeline failures, and performance regressions • Contribute to technical roadmaps, refactoring strategies, and platform modernization initiatives • Mentor and grow other engineers through design reviews, code reviews, and technical guidance • Create and maintain architecture diagrams, standards, and technical documentation