Senior Database Administrator

We're looking for an experienced Senior DBA to support complex SQL Server environments in the cloud-both IaaS and PaaS. You'll lead critical migrations and installations, ensure high availability, administer backups, enforce appropriate security practices, provide performance advice, monitor system health, and respond to outages.

• Architect, implement, and manage Microsoft SQL Server platforms (2012 onwards), including availability groups and disaster recovery strategies.
• Plan and execute database migrations to Azure and AWS PaaS, including minimizing downtime and risk during transitions.
• Monitor database and infrastructure performance using Prometheus and Grafana; establish dashboards and alerts to proactively detect issues.
• Automate routine DBA duties such as backups, patching, health checks, and index/statistics maintenance using scripting or orchestration tools.
• Troubleshoot and resolve complex issues: deadlocks, hung sessions, process blocking, performance bottlenecks, disk I/O or memory/CPU issues.
• Establish robust security practices: user/role management, encryption at rest/in transit (TDE, backup encryption) where required, auditing, and compliance with relevant standards.
• Collaborate with a globally distributed team of developers, network and infrastructure engineers, and tech leaders.
• Develop and maintain runbooks, knowledge base content, playbooks, and documentation to support operations and onboarding.
• Participate in an on-call rotation to ensure 24/7 availability for mission-critical systems.

• 5+ years of experience administering SQL Server in enterprise production environments.
• Routine availability for at least 2 hours between 8 AM and 5 PM US Central Time Zone.
• Hands-on experience with database migrations and management in Azure and/or AWS cloud environments.
• Strong T-SQL and PowerShell skills.
• Deep understanding of backup/recovery strategies, high-availability setups, replication, and performance tuning.
• Excellent troubleshooting skills and the ability to resolve performance and availability issues.
• Effective written and verbal communication, with an emphasis on documentation and cross-team collaboration.

• Certifications in AWS, Azure, or Microsoft SQL Server.
• Experience with DevOps automation such as CI/CD pipelines.
• Experience mentoring junior DBAs or developing internal training.
• Cloud spending optimization skills.

Note that this is a fully onsite role.

• Data Integration and ETL (Extract, Transform, Load) practices: Combining data from different sources into a single, unified view, and the process of extracting data from sources, transforming it into a suitable format, and loading it into a destination system. Proficiency Level: Advanced
• Data Analysis: The process of inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making Proficiency Level: Proficient
• Data Processing Frameworks: Tools and libraries used to process large data sets efficiently, such as Apache Hadoop and Apache Spark. Proficiency Level: Proficient
• Programming: Writing code to manipulate, analyze, and visualize data, often using languages like Python, R, and SQL. Proficiency Level: Proficient
• Data Modelling: The process of creating a data model for the data to be stored in a database, representing the data structures and their relationships. Proficiency Level: Proficient
• Data Quality Management: Ensuring that data is accurate, complete, reliable, and relevant for its intended use. Proficiency Level: Advanced