Looker Development: Design, build, and maintain scalable data models using LookML. Ensure performance, reliability, and intuitive usability across self-serve analytics and curated insights, API & Webhook Integration: Develop and manage data ingestion pipelines that integrate REST APIs and webhooks into BigQuery, ensuring real-time or near-real-time delivery, Airflow Orchestration: Maintain and optimize our Airflow-based data pipelines deployed via Kubernetes, supporting scalable and automated workflows, Event-Driven Data Flows: Build event-driven processes using Pub/Sub, Eventarc, and Cloud Run functions to react to data changes and integrate across services, BigQuery Optimization: Ensure fast, efficient, and cost-effective query execution through partitioning, clustering, and autoscaling slot usage, Security & Observability: Implement data governance practices, enforce access controls, and configure robust monitoring/logging for data reliability and compliance