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. 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. 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.
