Candidate must have 10 years of experience in Business Intelligence, Data Analytics, and Data Visualization with at least 4 years of experience as a Tableau Architect designing enterprise-scale analytics solutions. Required Skills & Experience Lead end-to-end Tableau architecture, design, development, and implementation initiatives. Define enterprise BI and analytics strategy using Tableau. Design scalable, secure, and high-performance reporting and dashboard solutions. Robust expertise in: Tableau Desktop Tableau Server Tableau Cloud Tableau Prep Tableau Catalog Tableau Data Management Hands-on experience with: Tableau Dashboard Design Storytelling with Data Advanced Visualizations Parameters Sets LOD Expressions Tableau Calculations Expertise in data modeling concepts: Star Schema Snowflake Schema Dimensional Modeling Data Warehousing OLAP Concepts Strong SQL skills and experience with large-scale datasets. Experience integrating Tableau with: Snowflake Databricks Azure Synapse SQL Server Oracle Teradata BigQuery Redshift Experience with cloud platforms: Microsoft Azure AWS Google Cloud Platform Strong understanding of:
Performance Optimization Extracts vs Live Connections Query Optimization Data Governance Metadata Management Experience in enterprise reporting architecture and self-service analytics. Expertise in security implementation: Row-Level Security (RLS) User Permissions Site Administration Data Policies Experience establishing Tableau Center of Excellence (COE). Strong stakeholder management and client consulting experience. Experience working in Agile delivery environments. Key Responsibilities* Define enterprise Tableau architecture and analytics roadmap. Lead Tableau implementation and modernization initiatives. Design enterprise dashboard and reporting frameworks. Establish visualization standards and best practices. Architect data access and security models. Conduct performance reviews and dashboard optimization. Lead design workshops with business stakeholders. Provide technical leadership to Tableau developers and analysts. Define governance, DevOps, and deployment strategies. Collaborate with Data Engineering, Data Science, and Business teams. Mentor teams on analytics and reporting best practices.