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Postgres DBA

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Cognizant
Full Time position
Listed on 2026-10-21
Job specializations:
  • IT/Tech
    Database Administrator, Disaster Recovery IT
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

Location:

Charlotte, NC - 100% onsite

Leading PostgreSQL DBA to create scalable data models for utilities domain use cases and enabling trustworthy analytics that advance organizational decisions and deliver positive value to customers and communities through reliable data driven services.

About Cognizant’s CIS Practice:

Cognizant’s CIS (Cognizant Infrastructure Services) Practice is a global leader in providing IT infrastructure services. We deliver innovative solutions to optimize and transform IT infrastructure, ensuring business agility and operational efficiency. Our services include cloud computing, data center management, network services, and cybersecurity. We focus on understanding client needs and delivering customized solutions to drive business success.

In this role, you will:
Database Administration & Operations
  • Administer and maintain PostgreSQL databases across Production, UAT, and Development environments.
  • Ensure database availability, reliability, and operational stability.
  • Perform database provisioning, configuration, and lifecycle management.
  • Manage database startup, shutdown, connectivity, and service health validation.
  • Monitor database growth, storage utilization, and capacity planning.

2. Backup, Recovery & Disaster Recovery

  • Design, implement, and test backup and recovery strategies.
  • Perform logical and physical backups using PostgreSQL utilities.
  • Conduct restore validations and recovery drills.
  • Define and maintain RPO/RTO objectives.
  • Ensure disaster recovery readiness and periodic DR testing.

3. High Availability & Replication

  • Design and support PostgreSQL HA architectures.
  • Configure and maintain streaming replication and logical replication.
  • Monitor replication health and replication lag.
  • Plan and execute failover and switchover activities.
  • Support enterprise-grade HA/DR solutions.

4. Performance Tuning & Optimization

  • Analyze and resolve database performance bottlenecks.
  • Tune PostgreSQL parameters, memory, I/O, and autovacuum settings.
  • Review and optimize SQL execution plans.
  • Design indexes, partitioning strategies, and query optimization solutions.
  • Monitor lock contention, blocking sessions, and database wait events.

5. Security & Compliance

  • Implement database security standards and best practices.
  • Manage users, roles, privileges, and access controls.
  • Enforce least-privilege principles.
  • Support audits, compliance requirements, and security reviews.

6. Incident, Problem & Change Management

  • Resolve critical incidents within SLA commitments.
  • Perform Root Cause Analysis (RCA) and drive preventive actions.
  • Support change, release, and deployment activities.
  • Coordinate recovery activities during major incidents.

7. Automation & Monitoring

  • Develop automation scripts using Bash, Python, Shell, or PostgreSQL utilities.
  • Automate health checks, maintenance tasks, and reporting.
  • Implement proactive monitoring, alerting, and observability solutions.
  • Monitor backups, jobs, replication, and database health.

8. Documentation & Knowledge Management

  • Create and maintain SOPs, runbooks, architecture documents, and recovery procedures.
  • Maintain operational documentation and troubleshooting guides.
  • Produce health reports, audit evidence, and management updates.
What you’ll need to succeed:
  • Possess extensive hands on experience working with PostgreSQL including design tuning partitioning and management of large datasets in complex enterprise environments
  • Apply strong knowledge of data warehousing dimensional modeling and relational design principles to construct efficient and maintainable schemas suited for high volume analytics
  • Demonstrate practical exposure to utilities or energy domain data such as metering asset management and usage analytics enabling better alignment between data solutions and industry needs
  • Bring solid…
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