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Tableau Platform & AI Integration Consultant
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Job Description
2. Core FY27
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. 3.
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. 4.
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 operating clusters supporting >25,000 active users and leading legacy migrations (ThoughtSpot, BusinessObjects, HAWK).