Senior SQL Server Database Administrator
- Compensation
- Not disclosed
- Location
- Makati City, Metro Manila
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Contract
- Experience
- 2+ years
- Category
- Devops
- Posted
Skills
Must have
- Bachelor's degree in computer science, Data Engineering, Information Technology, or a related field
- 8+ years of Microsoft SQL Server database administration experience in handling versions between Microsoft SQL Server 2012-2025 and Azure SQL database or Managed Instance in production environments
- 2+ years of MongoDB or MongoDB Atlas administration experience in enterprise production environments
- 2+ years of experience in programming using T-SQL and PowerShell for data transformation and infrastructure automation
- Ability to participate in a rotational on-call support
Nice to have
- Professional certifications in database administration or cloud architecture, such as MongoDB Certified DBA or Microsoft Certified: Azure Database Administrator Associate
- Experience with cloud platforms (e.g., Azure, AWS, GCP) and cloud data services
- Experience with cloud-native monitoring and alerting tools (e.g., Grafana, Azure Monitor, Datadog)
- Experience with DevOps practices, CI/CD pipeline integration, and Infrastructure as Code, such as Terraform or Ansible
- Hands-on experience with multi-region cloud deployments, Private Endpoints, Atlas Search, and cloud-native database services in Microsoft Azure
- Demonstrated experience utilizing AI-assisted software and database engineering tools to optimize queries, script workflows, and improve operational productivity.
Full description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities:
- Administer, maintain, and optimize enterprise SQL Server, Azure SQL, MongoDB environments supporting critical business applications
- Ensure high availability, disaster recovery readiness, and optimal database performance
- Troubleshoot and resolve database, infrastructure, and application-related issues using native SQL Server, Windows tools, Azure SQL, MongoDB, MongoDB Atlas
- Provide expert support in administration and operational ownership of enterprise-scale MSSQL and MongoDB environments, ensuring high availability, security, scalability, and performance across mission-critical production workloads
- Perform installation and upgrades, performance tuning, high availability and disaster recovery (Always-On Availability Groups, Replication etc.), monitoring, patching, TDE/TLS encryption, backup and recovery, security, automation (T-SQL/PowerShell), capacity planning, and troubleshoot mission-critical enterprise database environments
- Demonstrate expertise in SQL Server performance tuning, including Query Store, Execution Plans, Extended Events, SQL Profiler, Missing Index Analysis, Dynamic
- Management Views (DMVs), Wait Statistics, Windows and SQL Server Error Logs, and Performance Monitor
- Participate in administering Azure SQL database and Managed Instance, including end-to-end migration planning and execution
- Design, deploy, and manage MongoDB Atlas Projects, Clusters, Private Endpoints, Backup policies, and Disaster Recovery configurations in cloud environments
- Serve as key expert for MongoDB Atlas architecture, including replica sets, sharding, multi-region deployments, Atlas Search, and cloud-native database services
- Participate in architecture and design reviews, providing expert guidance on database solutions and performance optimization
- Lead database-related projects and drive continuous improvement through automation and adoption of emerging technologies, including AI-driven solutions
- Drive the adoption of AI-assisted database engineering solutions to improve operational efficiency, automate routine administrative tasks, accelerate root cause analysis, and optimize database performance and reliability