Looker Architect

Core ResponsibilitiesStrong understanding of Data Warehousing/Lakehouse concepts and Medallion architectureDashboard Design: Architect complex, multi-page reports that provide both high-level KPIs and granular drill-down capabilities. Data Modeling & Integration: Configure seamless connections between Looker Studio and BigQuery. Design semantic layers and governed datasets.Performance Optimization: Implement strategies to reduce report latency, such as optimizing SQL queries, utilizing BigQuery BI Engine, and managing data extraction schedules. Establish data modeling strategies for optimized reporting performance.Governance & Security: Establish best practices for data access control, credential management, and versioning to ensure data integrity and privacy.Stakeholder Collaboration: Translate ambiguous business requirements into technical specifications and user-centric visualizations.Technical Skills & Requirements:1) Platform ExpertiseMastery of Looker Studio and Looker Studio Pro. Experience with LookML2) Data QueryingAdvanced SQL skills for data transformation and custom querying in BigQuery.3) Data EngineeringExperience with ETL/ELT processes and data warehousing (primarily Google Cloud Platform).4) Advanced AnalyticsProficiency in creating Calculated Fields, using RegEx, and implementing complex data blending.5) VisualizationStrong grasp of UI/UX principles for dashboard designing (color theory, cognitive load, navigation).Key QualificationsExperience: 7+ years in Business Intelligence or Data Architecture, with at least 2 years focused specifically on the Google Cloud / Looker ecosystem.Strategic Thinking: Ability to see beyond "charts" and understand how data architecture supports long-term business goals.Problem Solving: Skilled at troubleshooting data discrepancies between source systems and the visualization layer.Communication: Comfortable presenting technical architectures to non-technical executive leadership.