Principal Enterprise Tableau Platform & AI Integration Consultant - Sunnyvale, CA | TCS Job

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).

Vendor Technical Pre-Screening Questions

(Candidates must provide written technical responses with resume submission:)

1.AI & MCP: How would you architect an MCP server that lets an AI agent query Tableau data while dynamically passing the user's identity to enforce Row-Level Security (RLS)?

2.Scalability: What caching, pooling, and workbook optimization strategies prevent cluster overload and ensure sub-second response times?

Salary Range: $110,000-$150,000 a year

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