Principal Tableau Platform & AI Integration Architect

We are seeking a Principal Enterprise Tableau Platform & AI Integration Consultant with deep expertise in Tableau platform architecture, distributed systems, APIs, security, and Enterprise GenAI integration. This is not a report development or visualization design role. The focus is enterprise-scale platform engineering, infrastructure, API architecture, security, and AI/agent integration.

Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding.

Core Deliverables

Tableau Platform: Enterprise rollout, platform architecture, lifecycle governance, scalability, performance, self-service onboarding, and Creator adoption.

Tableau Data Apps: Design and deployment of web-based analytics applications using Embedding API v3 and VizQL Data Service .

Enterprise Assistant & GenAI: Integrate Tableau with Enterprise Assistant and autonomous BI agents using governed semantic context and secure entitlement propagation.

MCP Enablement: Design and deploy production Model Context Protocol (MCP) servers exposing Tableau metadata, schemas, semantic models, and query capabilities to AI and developer workflows.

Required Technical Competencies

Platform & Distributed Systems

Multi-node Tableau architecture, scalability, capacity planning, and performance tuning.

Experience supporting high-concurrency enterprise environments.

Query optimization across Trino, StarRocks, and Snowflake .

Hyper extract optimization, caching, Backgrounder scheduling, and bottleneck analysis.

Security & Compliance

Dynamic Row-Level Security (RLS) and Column-Level Security (CLS) with LDAP/AD.

OAuth, SAML, PATs, Connected Apps, and JWT-based authentication.

Headless/API security and identity/entitlement propagation.

Cross-border data sovereignty and regulatory isolation, including China PIPL .

APIs & Automation

Expert knowledge of Tableau REST API, Metadata API (GraphQL), Embedding API v3, and VizQL Data Service .

Strong Python and/or TypeScript/Node.js automation and integration experience.

GenAI, Agents & MCP

Hands-on development and deployment of MCP servers .

Experience structuring BI semantic models and metadata as machine-readable context for LLMs.

Experience integrating Tableau with GenAI/autonomous agents while maintaining user identity, authorization, and data entitlements.

Candidate Qualifications

~9+ years in Enterprise Data Engineering, Platform Engineering, or Systems Architecture.

~5+ years focused on enterprise Tableau infrastructure, architecture, and APIs.

~ Background in Big Tech, hyperscale SaaS, or Tableau Professional Services preferred. xhyhwjd

~ Proven experience operating Tableau environments supporting 25,000+ active users .

~ Experience leading enterprise BI migrations from platforms such as ThoughtSpot, BusinessObjects, and HAWK .

~ Strong experience working across infrastructure, data engineering, security, application engineering, and AI teams.