Software Development Manager, Amazon Leo Data Platform
Tasks
- Architect OLAP analytics layer
- Architect data lakehouse with S3
- Architect vector database infrastructure
- Automate data classification and lineage tracking
- Build centralized metrics repository
- Create staging first data quality workflows
- Define extensible metrics schemas
- Design semantic data models
- Design standardized data ingestion patterns
- Develop cloud services and APIs for AI foundations
- Enable sub 100ms vector retrieval
- Implement automated compliance validation frameworks
- Implement cross domain federated queries
- Implement data quality validation pipelines
- Implement hybrid search with dense vectors and sparse representations
- Implement metadata management
- Implement metrics orchestration workflows
- Maintain audit trails
- Manage embeddings at scale
- Optimize query execution
- Orchestrate AI workflows across devices
- Unify structured and unstructured data
Perks/Benefits
- 401k matching
- Adoption and surrogacy reimbursement
- Dental insurance
- EAP mental health support
- Flexible spending accounts
- Health insurance
- Life insurance
- Medical Advice Line
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
AI retrieval | AWS | Amazon S3 | Audit trails | C# | C++ | Data Ingestion | Data Lakehouse | Data Lineage | Data Modeling | Data Quality | Data Validation | Dense vectors | Distributed Programming | Distributed Systems | Embeddings | Federated Query | Hybrid search | Java | Machine Learning | Metadata Management | Metrics Repository | OLAP | Query Optimization | Semantic data | Semantic data modeling | Service Oriented | Service-Oriented Architecture | Sparse representations | Vector Database
Education
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