Data Architect (Tableau/Power BI) -- Onsite -- W2 Profiles
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Role details
Tech stack
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Job description
Design and implement enterprise data architectures supporting BI, analytics, and reporting platforms. * Develop and maintain scalable Tableau dashboards, reports, and data visualizations. * Provide technical leadership for Tableau architecture, dashboard design, performance optimization, and governance. * Design and implement Power BI reports, dashboards, semantic models, and visualization solutions. * Develop robust 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, visualization, security, governance, and deployment. * Integrate BI platforms with enterprise data sources, including SQL Server, Snowflake, Oracle, Azure, AWS, and other cloud platforms. * Gather business requirements and translate them into technical architecture and reporting solutions. * Troubleshoot complex BI, data, and performance issues. * Establish best practices for Tableau Server/Cloud, Power BI Service, workspaces, access controls, and deployment. * Collaborate with architects, data engineers, developers, and business stakeholders throughout the solution lifecycle.
Requirements
8+ years of overall relevant experience in data architecture, BI, analytics, or related technologies. * 5+ years of Tableau development and architecture experience. * Strong hands-on experience with Tableau Desktop and Tableau Server/Cloud. * Expertise in Tableau dashboard development, performance tuning, and visualization best practices. * Strong experience with Power BI Desktop and Power BI Service. * Experience designing data models and dimensional models. * Strong SQL skills and knowledge of relational databases. * Experience in enterprise data architecture and BI/analytics architecture. * Experience working with large-scale datasets. * Strong communication, problem-solving, and stakeholder management skills.
Preferred Skills * Snowflake and cloud data platforms. * Microsoft Azure and AWS. * SQL Server and Oracle. * Azure Synapse Analytics and Databricks. * ETL/ELT concepts and data pipeline integration. * Data governance, data security, and access management. * Tableau Server and Power BI administration. * DAX and Power Query. * Cloud data warehouse architecture. * CI/CD and BI deployment processes.
Important: Strong hands-on Tableau development and architecture experience is mandatory, along with solid Power BI and data modeling expertise.
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