Job Description
What You'll Build Core Responsibilities Data Architecture & Infrastructure (40%) ● Design and implement a multi-database architecture (Mongo DB, Redis, Milvus, Neo4j, Big Query)
● Build scalable data pipelines for real-time conversation processing and personalization
● Architect ETL/ELT workflows for data migration from legacy systems
● Implement data partitioning, sharding, and optimization strategies for high-throughput systems
● Create data governance frameworks ensuring quality, security, and compliance Vector & Graph Database Systems (25%) ● Design and optimize Milvus vector collections for semantic search (1024-dim embeddings)
● Build graph schemas in Neo4j for customer journey mapping and persona relationships
● Implement HNSW indexing strategies and similarity search optimization
● Create hybrid search systems combining vector, full-text, and graph queries
● Monitor and tune database performance (query latency, throughput, resource util...
● Build scalable data pipelines for real-time conversation processing and personalization
● Architect ETL/ELT workflows for data migration from legacy systems
● Implement data partitioning, sharding, and optimization strategies for high-throughput systems
● Create data governance frameworks ensuring quality, security, and compliance Vector & Graph Database Systems (25%) ● Design and optimize Milvus vector collections for semantic search (1024-dim embeddings)
● Build graph schemas in Neo4j for customer journey mapping and persona relationships
● Implement HNSW indexing strategies and similarity search optimization
● Create hybrid search systems combining vector, full-text, and graph queries
● Monitor and tune database performance (query latency, throughput, resource util...
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