Senior / Principal Enterprise Tableau Platform & AI Integration Consultant

S Base Technologies; California (MO); On-site; USD 88,000 - 118,000; Full time

Job summary

S Base Technologies is seeking a Senior / Principal Enterprise Tableau Platform & AI Integration Consultant to join onsite in Sunnyvale, CA. The role focuses on building scalable Tableau platform infrastructure, integrating with enterprise AI, and enabling secure, API-first data access across the organization.

The ideal candidate brings 8–12+ years in data engineering and architecture with 5+ years on Tableau infra and APIs, plus experience with distributed systems and security controls.

Qualifications

• 8–12+ years in Enterprise Data Engineering / Systems Architecture.
• 5+ years dedicated to enterprise Tableau platform infrastructure and APIs.
• Experience operating clusters for large user bases (>25,000) and leading legacy migrations.

Responsibilities

• Architect and implement enterprise Tableau platform infrastructure and API integrations.
• Develop and deploy MCP servers for secure AI-driven analytics workflows.
• Lead integration of Tableau with Enterprise Generative AI and autonomous BI agents.

Skills

Tableau infra

REST API

GraphQL

Python

TypeScript/Node.js

Security & IAM

Distributed systems

MCP

LDAP/AD

OAuth/SAML

Tools

Trino

StarRocks

Snowflake

Embedding API

Job description

Hi Team,

Hope you are doing well!!

NOTE: Pls upload profile on Success Factor before sending on the email.

Position: Senior / Principal Enterprise Tableau Platform & AI Integration Consultant

Location: Sunnyvale, CA (Onsite)

Contract only Rate : $75/hr. C2C is fine

Job Description

Engagement Overview

We operate an enterprise BI ecosystem supporting 50% Apple people

Notice to Vendors: 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 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.

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 operating 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?