Software Development Manager, Amazon Leo Data Platform
Tasks
- Architect and implement OLAP analytics layer
- Architect and implement data lakehouse on S3
- Architect globally distributed vector database infrastructure
- Design extensible metrics schemas for analytics and AI retrieval
- Design hybrid search with dense vectors and sparse representations
- Design semantic data models for analytics and AI retrieval
- Design standardized data ingestion patterns with quality controls
- Develop orchestration for metrics workflows with audit trails
- Establish metadata management and lineage tracking
- Implement automated compliance validation frameworks
- Implement centralized metrics repository
- Implement cross domain federated queries with query optimization
- Implement data quality frameworks and validation pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon S3 | Audit trails | Data Engineering | Data Ingestion | Data Lakehouse | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Validation | Dense vectors | Distributed Systems | Federated Query | Hybrid search | Metadata Management | Metrics Repository | OLAP | Query Optimization | Semantic data | Semantic data modeling | Sparse representations | Vector Database | Vector embeddings
Education
N/A
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