Architect, AI Data Platform & Engineering
Tasks
- Architect AI first data platform
- Architect governed semantic layer for business metrics
- Architect semantic data search
- Architect unstructured data processing
- Build metadata management practices
- Define RBAC layers
- Define data governance standards
- Define enterprise data architecture vision
- Design governed data layers
- Design ingestion data processing consumption layers
- Design retrieval-augmented generation models
- Design semantic data models
- Develop and deploy AI platform applications
- Develop and oversee proof of concept initiatives
- Drive AI ML and generative AI operationalization
- Establish data platform roadmap
- Govern data architecture and standards
- Implement data lineage data quality observability
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | APIs | AWS | Apache Spark | Azure | Cloud Architecture | Cloud platform | Data Architecture | Data Governance | Data Lineage | Data Modeling | Data Quality | Data platforms | DevOps | ETL | Generative AI | Google Cloud | Google Cloud Platform | Identity Management | Machine Learning | Metadata Management | Observability | Python | RBAC | Retrieval-Augmented Generation | SQL | Semantic Search | Semantic data | Semantic data modeling | Snowflake | Tableau
Education
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