Job Description:
2. 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.
3. 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.
4. 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).
