Posted 16 August, 2026
Tableau Lead / Architect
NR Consulting
Hyderabad,Telangana
Full Time
Reference: 365_463738_26-23078
Title: Tableau Lead / Architect
Location: Hyderabad
Exp: 10+ Years
Job Description:
Key Responsibilities
Solution architecture & design
• Own end-to-end Tableau solution architecture — from source connectivity and data strategy to dashboards, governance, and adoption.
• Translate business requirements into scalable analytics designs, information architecture, and delivery roadmaps.
• Define standards and best practices for data sources, dashboard design, security, and performance.
Data connectivity & modeling
• Design data models and connections to enterprise sources (e.g., Snowflake, SQL, cloud data warehouses); set live-vs-extract strategy.
• Build and govern published / certified data sources and prepare data using Tableau Prep.
• Implement row-level security and semantic/metrics definitions for trusted, reusable analytics.
Dashboard development & visualization
• Develop high-impact dashboards and visualizations using advanced calculations, LOD expressions, parameters, and actions.
• Apply visualization and UX best practices to deliver clear, performant, self-service-ready content.
Platform administration & governance
• Administer Tableau Server / Tableau Cloud — sites, projects, permissions, content lifecycle, deployment, upgrades, and scaling.
• Own performance and reliability — tuning extracts, queries, and dashboards, and monitoring platform health.
• Establish governance — security, certification/endorsement, and content-management standards.
Tableau Expertise (end-to-end)
Deep, hands-on knowledge across the Tableau platform is essential:
• Authoring & analytics: Tableau Desktop — advanced calculations, LOD expressions, parameters, sets, actions, and complex dashboard design.
• Data preparation & modeling: Tableau Prep, relationships/data modeling, published and certified data sources, extracts (Hyper), and live connections.
• Administration: Tableau Server and Tableau Cloud — sites, projects, permissions, RLS, deployment, upgrades, scaling, and Tableau Bridge.
• Performance & optimization: extract and query tuning, dashboard performance, and workbook optimization.
• Governance & security: row-level security, content certification/endorsement, and lifecycle management.
• Extensibility (a plus): REST / Metadata APIs, VizQL Data Service, the Hyper API, embedding, and extensions.
Required Skills & Experience
• 10+ years in BI/analytics, with extensive, hands-on experience setting up end-to-end solutions on Tableau.
• Expert in Tableau Desktop (advanced calculations, LOD, complex dashboards, and performance tuning).
• Strong Tableau Server / Tableau Cloud administration (sites, permissions, security, deployment, and scaling).
• Strong SQL and data modeling (star schema, warehousing concepts); Tableau Prep / data preparation.
Preferred (Nice to Have)
• Tableau certifications — e.g., Tableau Certified Data Analyst / Consultant / Architect, or Server Certified Associate.
• Exposure to Tableau Pulse and Tableau Agent (AI-assisted / conversational analytics).
• BI migration experience — moving from other BI tools to Tableau.
Location: Hyderabad
Exp: 10+ Years
Job Description:
Key Responsibilities
Solution architecture & design
• Own end-to-end Tableau solution architecture — from source connectivity and data strategy to dashboards, governance, and adoption.
• Translate business requirements into scalable analytics designs, information architecture, and delivery roadmaps.
• Define standards and best practices for data sources, dashboard design, security, and performance.
Data connectivity & modeling
• Design data models and connections to enterprise sources (e.g., Snowflake, SQL, cloud data warehouses); set live-vs-extract strategy.
• Build and govern published / certified data sources and prepare data using Tableau Prep.
• Implement row-level security and semantic/metrics definitions for trusted, reusable analytics.
Dashboard development & visualization
• Develop high-impact dashboards and visualizations using advanced calculations, LOD expressions, parameters, and actions.
• Apply visualization and UX best practices to deliver clear, performant, self-service-ready content.
Platform administration & governance
• Administer Tableau Server / Tableau Cloud — sites, projects, permissions, content lifecycle, deployment, upgrades, and scaling.
• Own performance and reliability — tuning extracts, queries, and dashboards, and monitoring platform health.
• Establish governance — security, certification/endorsement, and content-management standards.
Tableau Expertise (end-to-end)
Deep, hands-on knowledge across the Tableau platform is essential:
• Authoring & analytics: Tableau Desktop — advanced calculations, LOD expressions, parameters, sets, actions, and complex dashboard design.
• Data preparation & modeling: Tableau Prep, relationships/data modeling, published and certified data sources, extracts (Hyper), and live connections.
• Administration: Tableau Server and Tableau Cloud — sites, projects, permissions, RLS, deployment, upgrades, scaling, and Tableau Bridge.
• Performance & optimization: extract and query tuning, dashboard performance, and workbook optimization.
• Governance & security: row-level security, content certification/endorsement, and lifecycle management.
• Extensibility (a plus): REST / Metadata APIs, VizQL Data Service, the Hyper API, embedding, and extensions.
Required Skills & Experience
• 10+ years in BI/analytics, with extensive, hands-on experience setting up end-to-end solutions on Tableau.
• Expert in Tableau Desktop (advanced calculations, LOD, complex dashboards, and performance tuning).
• Strong Tableau Server / Tableau Cloud administration (sites, permissions, security, deployment, and scaling).
• Strong SQL and data modeling (star schema, warehousing concepts); Tableau Prep / data preparation.
Preferred (Nice to Have)
• Tableau certifications — e.g., Tableau Certified Data Analyst / Consultant / Architect, or Server Certified Associate.
• Exposure to Tableau Pulse and Tableau Agent (AI-assisted / conversational analytics).
• BI migration experience — moving from other BI tools to Tableau.
