Data Architect-1994
Latham, NY, United States
USD 135K-190K (estimate) Senior-level Full Time
Tasks
- Align Foundry Azure Data Lake and global EDW
- Collaborate cross functionally with data engineering AI ML and business
- Contribute to AI data enablement roadmap
- Define AI data access guardrails
- Define ai specific data quality dimensions
- Define data structuring standards for RAG and agent workflows
- Define operational data contracts for AI consumption
- Define reference architectures standards and playbooks for onboarding agents
- Design ai ready data architecture patterns
- Ensure compliance with SOX, GDPR, CCPA
- Establish dataset certification and trust indicators
- Evaluate emerging Azure and Foundry capabilities
- Evolve data pipelines ontologies and object models
- Extend governance and MDM frameworks for AI
- Implement observability and monitoring across pipelines
- Leverage Foundry ontologies and semantic layers
- Operationalize metadata and lineage for governance
- Own and evolve enterprise semantic models
- Provide auditability and explainability through lineage
- Remediate data issues impacting AI outputs
- Support data migration enrichment and transformation initiatives
- Translate business decisions into machine understandable constructs
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | Access Control | Agentic AI | Alation | Azure | Azure AI | Azure AI Search | Azure Data | Azure Data Lake | CCPA | Claude Code | Collibra | Copilot | Data Architecture | Data Contracts | Data Engineering | Data Governance | Data Lake | Data Lineage | Data Management | Data Modeling | Data Quality | Decision Intelligence | GDPR | Great Expectations | LLM orchestration | MDM | Master Data | Master Data Management | Metadata Management | Microsoft Purview | Monitoring | Observability | Ontology | Palantir Foundry | Pinecone | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | SOX | Semantic Modeling | Soda | Vector Databases
Education
N/A
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