Job Description
- Hybrid Database Architecture: Design and manage polyglot persistence layers, selecting the right tool (SQL vs. NoSQL) for the specific use case.
- NoSQL Expertise: Architect scalable, high-availability clusters using MongoDB or CouchDB, focusing on document modeling and sharding strategies.
- Relational Mastery: Lead PostgreSQL administration, including complex query optimization, indexing strategies, and performance tuning.
- AI Integration: Design and maintain Vector Databases to support LLM applications and similarity searches.
- Data Modeling: Create logical and physical data models that ensure data integrity while maximizing retrieval speeds.
- Performance Engineering: Proactively identify bottlenecks, optimize slow-running queries, and manage database scaling to meet growing demands.
- Healthcare Compliance: (If applicable)



Ensure all data architectures adhere to security standards and regulatory requirements (e.g., HIPAA).

Required Qualifications
- Experience: Minimum 5-7 years of skilled experience in database administration and data engineering.
- SQL Mastery: Advanced proficiency in PostgreSQL (or similar RDBMS) including stored procedures, triggers, and partitioning.
- NoSQL Proficiency: Proven track record of designing and deploying MongoDB or CouchDB at scale.
- AI Knowledge: Deep understanding of Vector Databases and their role in the AI/ML lifecycle.
- Optimization: Strong background in database tuning, query profiling, and capacity planning.

Primary Skill Set

Hybrid Database Architecture; NoSQL; MongoDB or CouchDB; AI Integration

📌 Database Administrator (Bengaluru)
🏢 SP Software
📍 Bengaluru