About this opportunity
Neshent Technologies lists this Principal Tableau Platform & AI Integration Architect opportunity in Mountainview, California. Review the employer’s description below for duties, qualifications and application requirements.
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.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.