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About the Role

The AI Data Enablement Architect is responsible for enabling enterprise data to be AI-ready, agent-consumable, and decision-aware, focusing on Azure-native services and Foundry. This role bridges enterprise data architecture, data engineering, and AI enablement, ensuring data is semantically rich, governed, observable, and operationalized for AI systems. The Architect partners with various teams to establish standards for AI reasoning over data and supports autonomous decision-making, modernizing data platforms for AI-driven insights and automation.

Responsibilities

Design and evolve data architecture patterns for AI agents and copilots across Azure and Foundry.
Optimize data pipelines, ontologies, and object models in Foundry for AI consumption.
Define standards for structuring data to support Retrieval-Augmented Generation (RAG), agent tool usage, and stateful/event-driven workflows.
Ensure alignment between Foundry, Azure Data Lake, and the Global EDW for consistent data access.
Own and evolve enterprise semantic models representing business concepts.
Leverage Foundry ontologies and semantic layers for AI interpretation of business meaning.
Translate business decisions and workflows into machine-understandable data constructs.
Ensure consistency of definitions across BI, Foundry applications, AI use cases, and downstream consumers.
Define and operationalize data contracts for AI consumption, including schema, freshness, quality, lineage, and usage constraints.
Ensure metadata and lineage captured in Foundry and Azure are accessible and actionable by AI systems and governance processes.
Establish standards for dataset certification, confidence scoring, and trust indicators.
Define AI-specific data quality dimensions such as semantic accuracy, data drift, context completeness, and impact on AI-driven decisions.
Implement observability and monitoring across Azure and Foundry pipelines.
Proactively identify and remediate data issues impacting AI outputs, automation accuracy, or business trust.
Extend data governance and MDM frameworks to support AI and agentic use cases.
Define guardrails for AI data access, including role-based access controls, sensitive data handling, and human-in-the-loop requirements.
Ensure AI data usage aligns with SOX, GDPR, CCPA, and internal control standards.
Support auditability and explainability of AI-driven outcomes through data lineage and governance.
Serve as a central point of expertise for AI data readiness.
Collaborate with Data Engineers, AI/ML teams, and business stakeholders.
Define reference architectures, standards, and playbooks for onboarding new AI use cases and agents.
Contribute to the roadmap for AI data enablement across Azure, Foundry, and the Global EDW.
Evaluate emerging capabilities within Azure and Foundry for AI readiness, semantic modeling, and governance.
Support data migration, enrichment, and transformation initiatives.

Requirements

Must be strategic and able to run cross-functional projects.
Strong expertise in enterprise data architecture, data modeling, and data engineering.
Hands-on experience with Azure data services and Foundry (experience with comparable enterprise data platforms considered).
Deep understanding of semantic modeling, ontologies, metadata management, and data governance.
Working knowledge of AI and Agentic AI concepts, including RAG, decision intelligence, and autonomous workflows.
Ability to translate complex business processes into data and AI-ready designs.
Strong collaboration and communication skills across technical and business audiences.
Strategic mindset with the ability to execute in a complex enterprise environment.
Agentic development with Claude code and copilot experience.

Skills

Azure data services
Palantir Foundry
Enterprise data architecture
Data modeling
Data engineering
Semantic modeling
Ontologies
Metadata management
Data governance
AI concepts
Agentic AI
RAG
Decision intelligence
Autonomous workflows
Data contracts
Great Expectations
Soda
Vector databases
Azure AI Search
Pinecone
LLM orchestration frameworks
MDM platforms
Collibra
Alation
Purview

Education Level

Azure Data Engineer Associate
Azure Solutions Architect