Principal Enterprise Tableau Platform & AI Integration Consultant

Tcs Usa; Sunnyvale (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Tcs Usa is seeking a senior platform infra / data engineering leader to drive enterprise Tableau integration and scalable analytics platforms in Sunnyvale. You will architect multi-engine data pipelines, ensure security and entitlements, and enable AI-driven insights across the organization.

Bring 8–12+ years in data engineering, 5+ years with Tableau infrastructure, and hands-on experience with REST/GraphQL APIs, embedding APIs, and scalable distributed systems.

Qualifications

• 8–12+ years in Enterprise Data Engineering / Systems Architecture.
• 5+ years dedicated to Tableau platform infrastructure and APIs.
• Experience supporting 25,000+ active users and enterprise migrations.

Responsibilities

• Tableau Studio rollout and governance across the enterprise.
• Architecture and deployment of interactive analytics apps using embedding frameworks.
• Integrate Tableau with Enterprise Generative AI and autonomous agents.
• Expose Tableau schemas, metadata, and query engines to AI workflows.

Skills

Distributed systems

Security & compliance

APIs & developer platform

GenAI integration

Tools

Trino

StarRocks

Snowflake

REST API

GraphQL

Embedding API v3

VizQL Data Service

Python

TypeScript/Node.js

Job description

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).