Senior AI and Data Analytics Architect
Tasks
- Collaborate with business and technology stakeholders to translate requirements into scalable solutions
- Contribute to continuous evolution of data analytics and AI capabilities
- Define and promote best practices for AI ML model development deployment monitoring and lifecycle management
- Develop and maintain reusable solution patterns
- Ensure alignment with enterprise architecture standards and governance frameworks
- Ensure compliance with data privacy security and ethical AI principles
- Ensure integration of data analytics and AI solutions with enterprise data platforms
- Evaluate and recommend tools platforms frameworks and methodologies for enterprise adoption
- Provide architectural leadership and oversight across data analytics and AI initiatives
Perks/Benefits
Skills/Tech-stack
API Integration | Access Control | Automl | Azure Event | Azure Event Hubs | Batch Processing | Collibra | Data Governance | Data Lakehouse | Data Lineage | Data Pipelines | Data fabric | Data mesh | Databricks | Databricks SQL | Delta Lake | Event Hubs | Generative AI | Kafka | Machine Learning | Prompt engineering | RAG | Retrieval-Augmented Generation | Streaming processing | Time Travel | Unity Catalog
Regions
Countries
States
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