Senior Database Administrator

Overview:

Job Title: Senior SQL Database Administrator
Experience: 10–12 Years
Location: Hyderabad (Office / Rotational)
Employment Type: Full-Time

Job Summary

We are looking for a Senior SQL Database Administrator with 10–12 years of experience to lead the design, optimization, and automation of enterprise-scale database systems. This role requires deep expertise in performance tuning, large database management (10TB+), and building automation frameworks that integrate on-premises and AWS environments. The ideal candidate will adopt an “infrastructure as code” mindset and drive scalable, high-performance data solutions.

Key Responsibilities

Database Administration & Maintenance

• Manage, monitor, and maintain SQL Server databases to ensure high availability, performance, and security.
• Design and support complex replication topologies to maintain data consistency across distributed environments.
• Perform regular health checks, system audits, and capacity planning.

Performance Tuning & Optimization

• Conduct advanced performance tuning and bottleneck analysis across CPU, memory, and storage layers (NVMe/EBS) for very large databases (VLDBs).
• Perform wait state analysis and optimize storage I/O performance.

High Availability & Disaster Recovery

• Design, implement, and manage SQL Server Always On Availability Groups.
• Troubleshoot high-latency transactional replication issues in high-throughput systems.
• Establish and maintain robust backup and disaster recovery strategies.

Automation & Scripting

• Develop self-service automation solutions for development teams (e.g., automated database refreshes, schema validation).
• Build and maintain cross-platform automation frameworks using PowerShell, Python, or Ansible.
• Implement automated compliance checks and health monitoring for large-scale environments.

Database Migration & Upgrades

• Architect and execute migration strategies for large databases (10TB+) from on premises to AWS (EC2/RDS) with minimal downtime. Utilize tools and techniques such as Log Shipping, Mirroring, and AWS DMS.
• Leverage Delphix for data virtualization and masking to streamline non-production data provisioning.

Cloud & Infrastructure

• Deploy and manage SQL Server databases in AWS environments, including RDS and EC2.
• Ensure adherence to cloud best practices for scalability, security, and cost optimization.

Monitoring & Troubleshooting

• Proactively monitor database performance and resolve incidents.
• Use monitoring tools such as Foglight, DataDog, CloudWatch, and Redgate.
• Perform root cause analysis and implement preventive solutions.

Collaboration

• Collaborate with application development, DevOps, and infrastructure teams.
• Provide database design guidance and support development initiatives.

Required Skills & Qualifications

• 10–12 years of experience as a SQL Server DBA.
• Proven experience managing large-scale databases (10TB+).
• Strong expertise in:
• SQL Server performance tuning (execution plans, indexing, query optimization)
• Always On Availability Groups
• SQL Server Replication
• Backup and recovery strategies
• Hands-on experience with PowerShell scripting for automation.
• Experience with Delphix (data virtualization and masking).
• Strong knowledge of AWS database services.
• Experience in database migrations and upgrades.
• Solid understanding of database security and compliance practices.
• Excellent analytical and problem-solving skills.

Good to Have Skills

• Experience with CommVault for backup and recovery.
• Working knowledge of MongoDB or other NoSQL databases.
• Exposure to Microsoft Azure (Azure SQL, Managed Instances).
• Familiarity with DevOps tools and CI/CD pipelines.

Soft Skills

• Ability to translate complex technical database challenges into actionable business insights for stakeholders and provide technical mentorship to junior team members.
• Proven ability to maintain composure and lead technical resolution during high-pressure production outages and complex multi-wave cloud migrations.
• A strategic mindset focused on 'Automation First' - proactively identifying manual bottlenecks and architecting long-term scalable solutions rather than quick fixes.