Tableau Platform & AI Integration Consultant

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).