Solution Architect Tableau Platform & Analytics Products

Key Responsibilities

Solution Architecture & Technical Leadership

• Define and drive the architecture, design, and implementation of Tableau-based analytics solutions and products.
• Architect scalable, secure, and high-performance BI platforms supporting enterprise-grade reporting and self-service analytics.
• Lead technical design discussions and architecture reviews across Tableau, data warehouse, and analytics ecosystems.
• Design and govern dashboard embedding frameworks, API integrations, authentication mechanisms, and extension-based solutions.
• Establish best practices for Tableau development, administration, governance, performance optimization, and security.
• Evaluate emerging BI technologies and recommend innovative architectural solutions aligned with business goals.

Product Strategy & Ownership

• Partner closely with Product Managers to define product vision, roadmap, and feature prioritization.
• Apply a strong product mindset to identify customer pain points, market opportunities, and platform enhancements.
• Translate customer requirements, technical constraints, and business objectives into clear solution designs and actionable product requirements.
• Drive architectural decisions that balance scalability, usability, performance, and business value.
• Participate in roadmap planning and help shape product differentiation strategies within the analytics and BI ecosystem.

Customer & Stakeholder Engagement

• Work directly with enterprise customers, Customer Success, Sales, and Engineering teams to understand business challenges and define solution approaches.
• Act as the technical advisor for Tableau-related product capabilities, integrations, and deployment architectures.
• Lead workshops, architecture reviews, proof-of-concepts, and solution demonstrations.
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Governance & Platform Excellence

• Define governance frameworks, security standards, authentication models, and performance optimization strategies for Tableau deployments.
• Collaborate with Data Engineering teams to align analytics architecture with enterprise ETL/ELT and data platform strategies.
• Ensure scalability, maintainability, reliability, and compliance of analytics solutions.
• Promote best practices around metadata management, data lineage, cataloging, and observability.

Required Skills & Experience

Experience

• 8-12 years of overall experience in Business Intelligence, Analytics, Data Platforms, or Enterprise Reporting solutions.
• Minimum 4+ years of hands-on experience with Tableau architecture, development, and administration.
• Proven experience in Solution Architecture, Technical Leadership, or Product-oriented BI consulting roles.
• Experience influencing product strategy, roadmap decisions, and architecture direction.

Tableau Expertise

• Strong hands-on experience with:

• Tableau Desktop

• Tableau Server / Tableau Cloud

• Tableau Prep

• Tableau Extensions

• Tableau Embedding Frameworks

• Deep understanding of:

• Calculated Fields

• LOD Expressions

• Data Blending

• Performance Tuning

• Extracts vs Live Connections

• Security and Governance Models

• Strong understanding of Tableau scalability, performance optimization, and enterprise deployment architectures.

API & Integration Experience

• Hands-on experience with:

• Tableau REST API

• Tableau Metadata API

• Tableau Embedding APIs

• Experience designing integrations between Tableau and enterprise applications.

• Strong understanding of:

• SSO

• SAML

• OAuth

• Azure AD / Microsoft Entra ID

• Identity Federation and Access Management

• Experience troubleshooting embedding-related challenges such as iframe restrictions, authentication flows, and extension compatibility.

Data & Analytics Architecture

• Strong understanding of enterprise data ecosystems and analytics architecture.

• Experience working with:

• Snowflake

• Databricks

• Amazon Redshift

• Azure Synapse

• Modern Data Warehouses/Lakehouses

• Understanding of ETL/ELT frameworks, data pipelines, and data integration patterns.

• Ability to collaborate effectively with Data Engineering and Platform teams.

Product & Business Acumen

• Proven ability to think beyond technology and focus on customer outcomes and business value.

• Experience defining product requirements, feature specifications, and prioritization frameworks.

• Strong understanding of BI and analytics market trends.

• Knowledge of competing BI platforms such as:

• Power BI

• Looker

• Qlik

• Ability to analyze competitive landscapes and identify product differentiation opportunities.

Preferred Qualifications

• Experience in Data Quality, Data Governance, Data Observability, or Data Testing platforms.

• Working knowledge of:

• Data Catalogs

• Metadata Management

• Data Lineage

• Data Trust Frameworks

• Experience implementing governance and security strategies within enterprise analytics platforms.

• Exposure to cloud-native analytics solutions across AWS, Azure, or GCP environments.

• Tableau, Snowflake, Databricks, or Cloud platform certifications are highly desirable.

Leadership & Soft Skills

• Strong stakeholder management and executive communication skills.
• Proven ability to influence architecture and product decisions across cross-functional teams.
• Excellent problem-solving and strategic thinking capabilities.
• Ability to balance customer needs, business priorities, and technical feasibility.
• Experience mentoring architects, BI developers, and analytics engineers.
• Strong presentation, workshop facilitation, and customer engagement skills.

Key Competencies

• Solution Architecture
• Product Thinking & Roadmap Influence
• Tableau Platform Architecture
• Enterprise Analytics
• Data Governance & Observability
• BI Strategy
• API & Integration Design
• Customer-Centric Solutioning
• Stakeholder Management
• Data Platform Architecture
• Technical Leadership
• Innovation & Strategic Planning