Principal Enterprise Tableau Platform & AI Integration Consultant

Wipro USA; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Wipro USA is seeking a Senior / Principal Enterprise Tableau Platform & AI Integration Consultant to lead the enterprise BI ecosystem in Sunnyvale, California. You will own the Tableau platform lifecycle, governance, and advanced integrations with AI agents to enable autonomous analytics.

The role emphasizes API-driven embedding (Embedding API v3, VizQL Data Service), secure data access with RLS/CLS, and scalable MCP pipelines to serve 25,000+ users across the organization.

Qualifications

• 8–12+ years in Enterprise Data & Systems Architecture with 5+ years on Tableau platform infrastructure.
• Experience in Big Tech / hyperscale SaaS or Tableau Professional Services.
• Proven ability to scale clusters and support thousands of users.

Skills

Tableau platform

API integration

Security & compliance

MCP / Model Context Protocol

Python

TypeScript/Node.js

REST API

GraphQL

ETL / data pipelines

Data modeling

Tools

Trino

StarRocks

Snowflake

LDAP/AD

OAuth

SAML

Embedding API v3

VizQL Data Service

MCP tooling

Job description

Position

Senior / Principal Enterprise Tableau Platform & AI Integration Consultant

Location

Sunnyvale, CA (Onsite)

Job Description

1. Engagement Overview

We operate an enterprise BI ecosystem supporting 50% client people

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).