High-Performance Database Expert

4 days ago

Thiruvananthapuram, Kerala, India beBeeDatabaseAdministrator Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Senior Database Administrator Job Description

About the Role:

The Senior Database Administrator will be responsible for designing, implementing, and maintaining high-performance databases to support business applications. This role requires expertise in database architecture, performance optimization, and scalability.

Key Responsibilities:

  • 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).
  • Design multi-tenant scaling strategies for PostgreSQL and MongoDB Atlas (schema, sharding, partitioning).
  • Implement high-availability, replication, and clustering configurations.
  • Orientate Snowflake warehouse configurations for query speed and cost control.
  • 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.
  • 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.
  • Enforce encryption, access controls, and audit logging across all databases.
  • Ensure compliance with GDPR, SOC 2, and other relevant regulations.
  • Partner with backend, platform, and data engineering teams to ensure efficient database usage.
  • Provide training and documentation on query best practices and schema design.

Requirements:

  • 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

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