Principal Enterprise Tableau Platform & AI Integration Consultant

Qualifications This is not a report developer or visualization designer role. We require platform infrastructure engineers, distributed systems specialists, and API-first architects to drive extreme scalability, harden data security, and lead the integration of Tableau with Enterprise Generative AI and autonomous agents. Core Deliverables Tableau Studio: Enterprise-wide rollout, lifecycle governance, self-serve onboarding, and creator community adoption. Tableau Data Apps: Architecture and deployment of interactive, web-based analytics applications using modern embedding frameworks (Embedding API v3, VizQL Data Service). Endor + Tableau (EA): Deep integration with Enterprise Assistant (EA) and autonomous BI agents; providing certified semantic grounding to eliminate LLM hallucinations while preserving dynamic user entitlements. MCP Server Enablement: Production Model Context Protocol (MCP) pipelines exposing Tableau schemas, metadata, and query engines to developer and analyst AI workflows. Required Technical Competencies Cluster Scalability & Distributed Engines: Multi-node cluster architecture and tuning under heavy peak concurrency. Native integration and query performance optimization with modern engines: Trino, StarRocks, and Snowflake. Workload optimization: Hyper extract caching, backgrounder scheduling, and query bottleneck analysis. Security, Entitlements & Compliance: Dynamic Row-Level (RLS) and Column-Level Security (CLS) integrated with LDAP/AD. Headless and API security: OAuth, SAML, Personal Access Tokens, and Connected Apps (JWT). Cross-border data sovereignty and regulatory isolation (China PIPL). APIs & Developer Platform: Expert-level REST API, Metadata API (GraphQL), and Embedding API v3. VizQL Data Service / Headless Tableau for programmatic data extraction. Robust automation scripting in Python or TypeScript/Node.js. GenAI, Autonomous Agents & MCP: Practical development and deployment of Model Context Protocol (MCP) servers. Structuring BI semantic models as machine-readable context for LLMs. Enforcing end-user identity and entitlement propagation through AI tool calls. Candidate Qualifications Experience: 8–12+ years in Enterprise Data Engineering / Systems Architecture, with 5+ years dedicated to enterprise Tableau platform infrastructure and APIs. Background: Proven track record in Big Tech, hyperscale SaaS, or Tableau Professional Services. Scale: Verifiable experience ope rating clusters supporting >25,000 active users and leading legacy migrations (ThoughtSpot, BusinessObjects, HAWK). #J-18808-Ljbffr Tcs Usa