Database Administrators keep database services available, recoverable, secure, observable, and appropriately sized. They manage the operational conditions under which database code and data run, from configuration and capacity to backups, upgrades, replication, and incident response.
The role includes establishing recovery procedures, testing restores and failover, monitoring workload health, investigating contention and resource pressure, coordinating patches, and administering privileged access. Performance work is evidence-based: Database Administrators connect application behavior, query plans, configuration, data growth, and infrastructure signals before changing a production system.
Managed database services automate parts of installation, patching, backups, scaling, and high availability, but they do not eliminate operational ownership. Teams still need people to set policy, configure services, validate recovery, tune workloads, manage access, plan version upgrades, interpret monitoring, and respond when service behavior does not match expectations.
You are methodical when systems are healthy and steady when they are not. You prepare for failure before it happens, keep operational evidence current, and understand that an untested backup or undocumented recovery path is not a reliable control.
You make careful production changes, communicate risk and service impact clearly, and work well with developers, architects, security teams, cloud platform teams, and service owners. You know when to automate a repeatable task and when a change needs human review.
A future opening may require PostgreSQL, Microsoft SQL Server, Oracle Database, Amazon Relational Database Service, Azure SQL, or another specific engine or managed service. The operational model may range from self-managed infrastructure to platform-managed services, with different divisions of responsibility for patching, backups, availability, and scaling.
Workloads that support artificial intelligence (AI) may introduce vector indexes, bursty retrieval traffic, new retention patterns, or sensitive interaction data. Those are database workload characteristics to secure, monitor, tune, and recover. Model operations, AI evaluation, and AI-specific controls remain outside the Database Administrator's core ownership.
A future opening may require PostgreSQL, Microsoft SQL Server, Oracle Database, Amazon Relational Database Service, Azure SQL, or another specific engine or managed service. The operational model may range from self-managed infrastructure to platform-managed services, with different divisions of responsibility for patching, backups, availability, and scaling.
Workloads that support artificial intelligence (AI) may introduce vector indexes, bursty retrieval traffic, new retention patterns, or sensitive interaction data. Those are database workload characteristics to secure, monitor, tune, and recover. Model operations, AI evaluation, and AI-specific controls remain outside the Database Administrator's core ownership.
Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening
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| Location | Washington, District of Columbia |
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