Role: Functional Consultant
Required Skills: Artificial Intelligence | Tableau
Experience: 10 - 15 Years
Function: TECHNOLOGY
Apply By: 2026-11-21
Qualifications:
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 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 ope rating 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:)
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)?
Scalability: What caching, pooling, and workbook optimization strategies prevent cluster overload and ensure sub-second response times?
Salary Range: $110,000-$150,000 a year
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