AI & Data Analytics Architect
Charlotte, NC, United States
USD 139K-230K (estimate) Senior-level Full Time
Tasks
- Architect enterprise AI solutions
- Balance legacy and modern data warehouse architectures
- Collaborate with enterprise architecture and delivery teams
- Conduct technology evaluations with vendors
- Define AI governance and agent patterns
- Design batch and real-time data pipelines
- Design data platforms lakehouse warehouse and semantic models
- Design data security compliance frameworks
- Design data storage and analytics systems
- Develop AI and data strategy roadmaps
- Develop end-to-end data architecture
- Develop reusable architecture templates
- Evaluate new technologies and tooling
- Guide AI and data analytics implementation
- Implement data governance and security controls
- Integrate AI and ML models into data solutions
- Leverage Generative AI services
- Leverage machine learning services for predictive analytics
- Maintain CMDB updates
- Mentor implementation teams on best practices
Perks/Benefits
Skills/Tech-stack
AI Search | AgentOps | Artificial Intelligence | Azure | Azure AI | Azure AI Search | 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 Control | Data Engineering | Data Governance | Data Lake Storage Gen2 | Data Privacy | Data Security | Data Warehouse | ETL | Evaluation | Generative AI | Lakehouse | Lifecycle Management | MLOps | Machine Learning | Managed Instance | Microsoft Fabric | Microsoft Purview | Observability | Oracle | Power BI | Predictive Analytics | Real Time | Real-time analytics | Responsible AI | SQL Database | SQL Managed Instance | SQL Server | SSIS | Semantic models | Synapse Analytics
Education
Roles
AI | AI Architect | Architect | Data Architect | Solutions Architect
Regions
Countries
States
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