Salesforce Tableau Architect

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.
• Strong 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.