Data Architect - Tableau & Power BI -- Onsite -- Only W2 Profiles

* Design and implement enterprise data architecture to support BI, analytics, and reporting platforms. * Develop, maintain, and optimize scalable Tableau dashboards, reports, and visualizations. * Provide technical leadership in Tableau architecture, dashboard design, performance tuning, and governance. * Design and implement Power BI reports, dashboards, semantic models, and data visualization solutions. * Develop data models, dimensional models, data marts, and analytical datasets. * Collaborate with data engineering teams to define data pipelines and ensure high-quality data availability. * Optimize Tableau and Power BI solutions for performance, scalability, and usability. * Establish standards for BI development, data visualization, security, governance, and deployment. * Integrate BI platforms with enterprise data sources, including SQL Server, Snowflake, Oracle, Azure, and AWS. * Gather business requirements and translate them into technical architecture and reporting solutions. * Troubleshoot complex BI, data integration, and performance issues. * Establish best practices for Tableau Server/Cloud, Power BI Service, workspaces, access control, and deployment. * Collaborate with architects, developers, data engineers, and business stakeholders throughout the project lifecycle.

8+ years of overall IT experience. * 5+ years of hands-on Tableau development or architecture experience. * Strong experience with Tableau Desktop and Tableau Server/Cloud. * Expertise in Tableau dashboard development, performance optimization, and visualization best practices. * Strong Power BI experience, including Power BI Desktop and Power BI Service. * Experience in data modeling and dimensional modeling. * Strong SQL and relational database knowledge. * Experience in enterprise data architecture and BI/analytics architecture. * Experience working with large-scale datasets. * Excellent communication, problem-solving, and stakeholder management skills.

Preferred Skills * Snowflake and cloud data platforms. * Azure and AWS. * SQL Server and Oracle. * Azure Synapse Analytics and Databricks. * DAX and Power Query. * ETL/ELT concepts and data pipeline integration. * Data governance, data security, and access management. * Tableau Server and Power BI administration. * Cloud data warehouse architecture. * CI/CD and BI deployment processes.