Senior Database Administrator

New

FinalsiteK–12 EdTech

100% Remote - Anywhere within the USFull-TimeSenior

Salary135,000 - 165,000 USD per year

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Job Details

Experience: Minimum 7 years of experience as a Database Administrator in high-performance production environments.
Required Skills: AWSPostgreSQLGCPMicrosoft SQL ServerMongoDBMySQL

Have at least 7 years of experience as a Database Administrator in high-performance production environments.
Bring deep technical expertise in MSSQL, including SSIS, SSAS, and SSRS, PostgreSQL, MySQL, and MongoDB.
Have experience managing databases in GCP and AWS.
Demonstrate a track record of improving query performance and reducing cloud infrastructure costs through optimization.
Have extensive experience implementing and testing failover clusters, replication, and backup/recovery strategies.
Use Python, Bash, and PowerShell for OS-level orchestration and T-SQL, PL/pgSQL, MySQL Procedural, and MQL for engine-level logic.
Build idempotent, version-controlled automation for database management, deployments, migrations, and self-healing systems.
Be willing to participate in on-call response.
Preferred: hands-on experience with New Relic or native cloud monitoring and alerting tools.
Preferred: experience managing databases in audited environments such as SOC2, HIPAA, or PCI-DSS and implementing data privacy controls.

Deploy, configure, and maintain CloudSQL/PostgreSQL, MSSQL, MySQL, and MongoDB databases.
Own data pipelines and processing layers, partnering with developers and infrastructure teams to improve reliability and performance.
Tune queries and right-size instances to improve efficiency and reduce cloud costs.
Implement encryption at rest and in transit, row-level security, and PII masking.
Design and implement high-availability and disaster-recovery strategies, including failover, replication, and backup/recovery.
Monitor databases, identify bottlenecks, and integrate database observability into the monitoring and infrastructure-as-code stack.
Lead data migrations and schema changes across environments with minimal downtime.
Partner with Application Architects on scalable, cost-efficient data models and mentor developers on code and schemas.
Manage workflow through Jira and work with leadership to define and meet performance and reliability metrics.
Use AI coding assistants and automated tuning agents to reduce operational toil.

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