> Markdown version of [/jobs/ext/4658466-enterprise-tableau-architect](https://www.wearedevelopers.com/jobs/ext/4658466-enterprise-tableau-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Tableau Architect - **Company:** Diverse Lynx LLC - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Encodings, Data Mining, Python (Programming Language), Lightweight Directory Access Protocols (LDAP), Metadata, Node.Js, OAuth, Security Assertion Markup Language (SAML), Tableau (Software), TypeScript, Scripting, Large Language Models, Snowflake, Multi-Agent Systems, Concurrency, Software Security, Graphql, Restful APIs, Model Context Protocol, Automation Anywhere - **Published:** November 10, 2026 - **Apply:** https://www.careerbuilder.com/job-details/enterprise-tableau-architect-sunnyvale-ca--c91275f5-b543-4393-8412-c61dd62a59e7 ## About the Role Tableau, Enterprise Architecture, Tableau, Artificial Intelligence (AI), Consulting, Business Intelligence, Metadata, MCP - Microsoft Certified Professional, Workflow Analysis, Concurrency ## Description * Tableau Studio: Enterprise-wide rollout, lifecycle governance, self-serve onboarding, and creator community adEligible to workion. * 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. 3. Required Technical Competencies * Cluster Scalability & Distributed Engines: * Multi-node cluster architecture and tuning under heavy peak concurrency. * Native integration and query performance Eligible to workimization with modern engines: Trino, StarRocks, and Snowflake. * Workload Eligible to workimization: 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.