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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?
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Worksite address
california, MO, 65018, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.