Looker Architect

About the role

Core Responsibilities Strong understanding of Data Warehousing/Lakehouse concepts and Medallion architecture Dashboard 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 Expertise Mastery of Looker Studio and Looker Studio Pro . Experience with LookML 2) Data Querying Advanced SQL skills for data transformation and custom querying in BigQuery. 3) Data Engineering Experience with ETL/ELT processes and data warehousing (primarily Google Cloud Platform). 4) Advanced Analytics Proficiency in creating Calculated Fields , using RegEx , and implementing complex data blending. 5) Visualization Strong grasp of UI/UX principles for dashboard designing (color theory, cognitive load, navigation). Key Qualifications Experience: 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.

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Company Intel

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