Senior Database Architect
India - Bangalore Office
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Architect vector databases for RAG
- Build embedding pipelines
- Collaborate with AI and ML teams
- Create indexing strategies
- Decompose stored procedure business logic
- Define data quality frameworks
- Define data residency and partitioning strategies
- Design chunking approaches
- Design data architectures for AI agent context
- Design data pipelines
- Design domain services for extracted logic
- Design embedding strategies
- Design evaluation frameworks for RAG quality
- Design event driven database patterns
- Design knowledge graph patterns
- Design real-time data synchronization
- Design semantic data models
- Implement CQRS patterns
- Implement Change Data Capture
- Implement ETL and ELT orchestration
- Implement event sourcing
- Implement hybrid retrieval
- Implement outbox pattern
- Mentor engineers on database architecture
- Modernize SQL Server stored procedures
- Optimize query performance
- Optimize similarity search
- Refactor database structures to domain driven design
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AWS | Aggregates | Azure AI | Azure AI Search | Azure Cosmos | Azure Cosmos DB | Azure SQL | Azure Synapse | Bounded Contexts | C# | CQRS | Change Data Capture | Chunking | Cosmos DB | Data Capture | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Database refactoring | Dimensional Modeling | Domain events | Domain-Driven Design | ELT | ETL | Embedding Models | Embedding pipelines | Entity Relationship Modeling | Entity relationship | Event Sourcing | Execution Plans | HIPAA | Hybrid search | Indexing | Java | Kafka | Knowledge graphs | Observability | Ontologies | Outbox Pattern | PCI DSS | Python | Query Optimization | RAG | Relationship Modeling | Reranking | SQL Server | Schema evolution | Similarity Search | Snowflake | Stored Procedures | T-SQL | Terraform | Vector Databases
Education
N/A
Roles
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