Senior Database Administrator

3 weeks ago

Thiruvananthapuram, India FOUNDINGMINDS SOFTWARE PRIVATE LIMITED Full time

Key Responsibilities :- Performance Optimization & Query Tuning- Tune query performance for PostgreSQL, EdgeDB, MongoDB Atlas, and Snowflake.- Analyze execution plans, identify bottlenecks, and implement indexing & caching strategies.- Work with engineering teams to optimize schema design for OLTP (Postgres/EdgeDB) and metadata storage (MongoDB).- Database Architecture & Scalability- Design multi-tenant scaling strategies for PostgreSQL and MongoDB Atlas (schema, sharding, partitioning).- Implement high-availability, replication, and clustering configurations.- Optimize Snowflake warehouse configurations for query speed and cost control.- Operational Excellence- Plan and execute zero-downtime database upgrades and schema migrations.- Set up proactive monitoring, alerting, and anomaly detection across all database systems.- Manage capacity planning for storage and compute resources across Postgres, MongoDB Atlas, and Snowflake.- Storage & Cost Optimization- Reduce storage costs via archiving, partitioning, compression, and lifecycle policies.- Optimize Snowflake compute and storage usage with warehouse tuning and data pruning.- Implement tiered storage strategies for cold vs. hot data.- Security, Compliance & Governance- Enforce encryption, access controls, and audit logging across all databases.- Ensure compliance with GDPR, SOC 2, and other relevant regulations.- Collaboration & Knowledge Sharing- Partner with backend, platform, and data engineering teams to ensure efficient database usage.- Provide training and documentation on query best practices and schema design.Required :- 7+ years DBA experience, with deep expertise in PostgreSQL and MongoDB Atlas.- Strong understanding of multi-tenant architectures in production.- Experience with Snowflake query optimization, warehouse tuning, and cost management.- Proven success in executing zero-downtime upgrades and large-scale migrations.- Strong skills in query optimization, indexing, partitioning, and sharding.- Proficiency in scripting (Python, Bash, SQL) for automation.- Hands-on experience with monitoring tools (pg_stat_statements, Atlas monitoring, Snowflake Resource Monitors, Prometheus, Grafana).Nice To Have :- Experience with EdgeDB or graph/relational hybrid databases.- Familiarity with Kubernetes-based database deployments (StatefulSets, Operators).- Background in distributed caching (Redis, Memcached).Skills : DBA, PostgreSQL and MongoDB. (ref:hirist.tech)

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