AI & Data Analytics Architect
Charlotte, NC, United States
USD 125K-192K (estimate) Senior-level Full Time
Tasks
- Architect and guide enterprise AI and data analytics solutions
- Collaborate with stakeholders to gather requirements and provide guidance
- Conduct technology evaluations with users and vendors
- Create reusable AI and data architecture templates and standards
- Define enterprise governance and AgentOps patterns for AI and agent solutions
- Design data pipelines storage systems and analytics architectures using Azure
- Design lakehouse warehouse and semantic model architectures using Azure
- Develop end to end architecture for operational and analytical systems
- Evaluate and roadmap new AI and data technologies
- Implement data security compliance and governance frameworks
- Integrate AI and ML models into data solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AI Services | Artificial Intelligence | Azure AI | Azure AI Search | Azure AI Services | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Machine Learning | Azure SQL | Azure SQL Database | Azure SQL Managed Instance | Azure Synapse | Azure Synapse Analytics | Batch Processing | CMDB | Cosmos DB | Cost Management | Data Architecture | Data Engineering | Data Governance | Data Lake Storage Gen2 | Data Privacy | Data Processing | Data Security | Data Warehousing | ETL | Fusion analytics | GitHub Copilot | Lakehouse | Lifecycle Management | MLOps | Machine Learning | Managed Instance | Microsoft Fabric | Microsoft Foundry | Microsoft Purview | Observability | Oracle Fusion | Oracle Fusion Analytics | Power BI | Real Time | Real-time Data | Real-time Data Processing | Responsible AI | SQL Database | SQL Managed Instance | SQL Server | SSIS | Semantic Modeling | Synapse Analytics
Education
Regions
Countries
States
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