Senior Database Administrator

Wellframe; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Wellframe in Hyderabad is seeking a Senior SQL Database Administrator with 10–12 years of experience to lead the design, optimization, and automation of enterprise-scale database systems. The role demands deep expertise in performance tuning, VLDBs (10TB+), and building automation frameworks that bridge on-premises and AWS environments.

You will drive infrastructure-as-code practices, implement robust backup and recovery strategies, and collaborate with DevOps, application teams, and

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 and Always On.
• Hands-on PowerShell scripting for automation.
• Experience with Delphix data virtualization and masking.
• Familiarity with AWS database services and migrations.
• Security and compliance best practices.

Responsibilities

• 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.
• Conduct advanced performance tuning across CPU, memory, and storage for VLDBs.
• Design, implement, and manage SQL Server Always On Availability Groups.
• Develop self-service automation solutions for development teams.

Skills

SQL Server DBA

Performance tuning

Always On Availability Groups

SQL Server Replication

Backup and recovery

PowerShell scripting

Automation

Delphix

AWS database services

Database migrations

Security & compliance

Tools

Foglight

DataDog

CloudWatch

Redgate

Delphix

Job description

Senior Database Administrator

Job Locations: IN-Hyderabad

ID: 2026-7704

Category: Customer Service/Support

Position Type: Full-Time

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.