Senior Tableau Engineer

Summary

Join Rackspace Technology as a Senior Tableau Engineer and leverage your expertise in data modeling, visualization, and BI tool migrations. You will be responsible for end-to-end dashboard development, translating complex data into actionable insights, and leading migrations from legacy BI platforms to Tableau. This role requires collaboration with data engineers and business stakeholders, mentoring junior developers, and ensuring data integrity and governance. You will also be responsible for automating processes, implementing CI/CD, and defining Tableau governance policies. The ideal candidate will have deep expertise in Tableau, data modeling, and visualization design, along with experience in BI tool migrations. This position offers the opportunity to work on challenging projects and make a significant impact on the organization.

Requirements

Deep expertise in data modeling, visualization design, and BI-tool migrations

Responsibilities

• Design and maintain logical and physical data models optimized for Tableau performance
• Collaborate with data engineers to define star/snowflake schemas, data marts, and semantic layers
• Ensure data integrity, governance, and lineage across multiple source systems
• Develop high-impact, interactive Tableau dashboards and visualizations for executive-level stakeholders
• Apply design best practices: color theory, UX principles, and accessibility standards
• Optimize workbooks for performance (efficient calculations, extracts, and queries)
• Lead migration projects from MicroStrategy, BusinessObjects, or other BI tools to Tableau
• Reproduce and enhance legacy reports in Tableau, ensuring feature parity and improved UX
• Validate data accuracy post-migration through sampling, reconciliation, and automated testing
• Automate data extract refreshes, alerting, and workbook publishing via Tableau Server/Online
• Implement CI/CD processes for Tableau content using Git, Tableau APIs, and automated testing frameworks
• Establish standardized naming conventions, folder structures, and content lifecycle policies
• Partner with analytics translators, data engineers, and business owners to gather requirements and iterate solutions
• Mentor junior BI developers on Tableau best practices, performance tuning, and dashboard design
• Evangelize self-service BI adoption: train users, develop documentation, and host office hours
• Define and enforce Tableau governance: security, permissions, version control, and change management
• Implement data quality checks and monitoring for dashboards (row counts, anomalies, thresholds)
• Track and report key metrics on dashboard usage, performance, and user satisfaction