Principal Tableau Platform & AI Integration Architect

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

Job summary

Veriipro is seeking a Principal Enterprise Tableau Platform & AI Integration Consultant to lead enterprise-scale Tableau platform engineering, API architecture, security, and GenAI integration. This role focuses on platform orchestration, not simply visualization, with emphasis on scalable architecture and governance.

You will work on multi-node Tableau deployments, data apps, and MCP server development, ensuring secure entitlement propagation and cross-border data considerations in enterprise

Qualifications

• 9+ years in Enterprise Data Engineering, Platform Engineering, or Systems Architecture.
• 5+ years focused on enterprise Tableau infrastructure, architecture, and APIs.
• Background in Big Tech, hyperscale SaaS, or Tableau Professional Services preferred.
• Proven experience operating Tableau environments serving 25,000+ active users.

Responsibilities

• Lead Tableau platform architecture, scalability, governance, and Creator adoption.
• Design and deploy web-based analytics apps using Embedding API v3 and VizQL Data Service.
• Integrate Tableau with Enterprise Assistant/GenAI using secure entitlements and semantic context.
• Develop MCP servers exposing Tableau metadata, schemas, and models to AI workflows.

Skills

Tableau platform

Distributed systems

APIs & automation

Security & compliance

GenAI integration

Python

TypeScript/Node.js

Tools

Trino

StarRocks

Snowflake

Tableau REST API

Metadata API (GraphQL)

VizQL Data Service

Job description

We are seeking a Principal Enterprise Tableau Platform & AI Integration Consultant with deep expertise in Tableau platform architecture, distributed systems, APIs, security, and Enterprise GenAI integration.

This is not a report development or visualization design role. The focus is enterprise-scale platform engineering, infrastructure, API architecture, security, and AI/agent integration.

Core Deliverables

• Tableau Platform: Enterprise rollout, platform architecture, lifecycle governance, scalability, performance, self-service onboarding, and Creator adoption.
• Tableau Data Apps: Design and deployment of web-based analytics applications using Embedding API v3 and VizQL Data Service.
• Enterprise Assistant & GenAI: Integrate Tableau with Enterprise Assistant and autonomous BI agents using governed semantic context and secure entitlement propagation.
• MCP Enablement: Design and deploy production Model Context Protocol (MCP) servers exposing Tableau metadata, schemas, semantic models, and query capabilities to AI and developer workflows.

Required Technical Competencies

Platform & Distributed Systems

• Multi-node Tableau architecture, scalability, capacity planning, and performance tuning.
• Experience supporting high-concurrency enterprise environments.
• Query optimization across Trino, StarRocks, and Snowflake.
• Hyper extract optimization, caching, Backgrounder scheduling, and bottleneck analysis.

Security & Compliance

• Dynamic Row-Level Security (RLS) and Column-Level Security (CLS) with LDAP/AD.
• OAuth, SAML, PATs, Connected Apps, and JWT-based authentication.
• Headless/API security and identity/entitlement propagation.
• Cross-border data sovereignty and regulatory isolation, including China PIPL.

APIs & Automation

• Expert knowledge of Tableau REST API, Metadata API (GraphQL), Embedding API v3, and VizQL Data Service
• Strong Python and/or TypeScript/Node.js automation and integration experience.

GenAI, Agents & MCP

• Hands-on development and deployment of MCP servers.
• Experience structuring BI semantic models and metadata as machine-readable context for LLMs.
• Experience integrating Tableau with GenAI/autonomous agents while maintaining user identity, authorization, and data entitlements.

Candidate Qualifications

• 9+ years in Enterprise Data Engineering, Platform Engineering, or Systems Architecture.
• 5+ years focused on enterprise Tableau infrastructure, architecture, and APIs.
• Background in Big Tech, hyperscale SaaS, or Tableau Professional Services preferred.
• Proven experience operating Tableau environments supporting 25,000+ active users.
• Experience leading enterprise BI migrations from platforms such as ThoughtSpot, BusinessObjects, and HAWK.
• Strong experience working across infrastructure, data engineering, security, application engineering, and AI teams.