Senior Database Administrator
5 days ago
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.
Qualifications
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
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