Design and implement scalable Business Intelligence architectures and semantic data models. Develop enterprise-grade dashboards, reports, and self-service analytics solutions using Looker. Define BI standards, governance models, reusable frameworks, and reporting best practices. Partner with engineering, product, and business teams to translate business requirements into analytical solutions. Looker & LookML Development Build, optimize, and maintain LookML models, explores, views, and dashboards. Develop reusable semantic layers and governed metrics for enterprise reporting. Optimize Looker performance, query efficiency, and dashboard usability. Troubleshoot complex LookML and modeling issues across multiple datasets and domains. Write advanced and optimized SQL queries for large-scale analytical workloads. Perform root cause analysis for reporting discrepancies, data quality issues, and performance bottlenecks. Support data validation, reconciliation, and troubleshooting activities across BI platforms. Collaborate with data engineering teams on warehouse design, transformations, and pipeline optimization. L3 Technical Support & Governance Act as the escalation point for critical BI production issues and complex analytical problems. Provide hands‑on technical support for business‑critical dashboards and reporting systems. Lead incident triage, defect resolution, and performance tuning activities. Mentor junior BI engineers and establish technical standards across the BI ecosystem. Stakeholder & Program Collaboration Work closely with business stakeholders to prioritize reporting enhancements and analytical capabilities. Support roadmap planning, estimation, and delivery governance for BI initiatives. Drive continuous improvements in reporting accuracy, reliability, and user experience. Required Skills & Qualifications Technical Skills Strong expertise in SQL with experience optimizing complex analytical queries. Deep hands‑on experience with Looker and LookML development. Strong understanding of dimensional modeling, semantic modeling, and BI architecture principles. Experience working with enterprise data warehouses and cloud data platforms. Expertise in dashboard performance optimization and reporting scalability. Experience troubleshooting production BI systems and resolving data inconsistencies. Preferred Experience Experience with GCP data ecosystem including Google Cloud BigQuery. Exposure to ETL/ELT workflows and data transformation frameworks. Experience working in Agile delivery environments. Familiarity with data governance, access controls, and reporting compliance standards. Experience supporting executive dashboards and enterprise analytics platforms. Experience Required 8+ years of experience in Business Intelligence, Analytics Engineering, or BI Architecture. 5+ years of hands‑on experience with Looker and LookML. Proven experience supporting enterprise‑scale BI environments and stakeholder‑facing analytics solutions. Strong experience in L3 production support and incident management for BI platforms. Education Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field. #J-18808-Ljbffr