Job Description

Cloud Database Administrator, Sr.

Department: SaaS

Employment Type: Full Time

Location: Atlanta

A Typical Day in the Life Includes:

• Manage and maintain cloud-based relational and non-relational database systems (Aurora PostgreSQL, SQL Server, Oracle, etc.) across multiple environments.
• Design and implement high availability, backup, disaster recovery, and data
  replication strategies in cloud-native environments.
• Automate database provisioning, monitoring, and maintenance tasks using tools such as Terraform, Ansible, or cloud-native services.
• Collaborate with development and DevOps teams to optimize schema design, indexing strategies, and query performance.
• Monitor database health and performance, proactively identifying and resolving issues to meet SLAs.
• Maintain security best practices for data access, encryption, and compliance with industry standards such as SOC2, ISO 27001, or HIPAA.
• Participate in incident response eTorts and root cause analysis for database-related events.
• Contribute to cloud cost optimization eTorts through eTicient database provisioning and resource management.

Basic Qualifications:

• Experience in database administration, including cloud-native or hybrid environments.
• Experience with one or more cloud platforms (AWS Aurora/RDS, Azure SQL, Google Cloud SQL/Spanner).
• Experience in SQL and performance tuning across high-volume transactional systems.
• Experience with infrastructure-as-code and automation frameworks (e.g., Terraform, CloudFormation, or similar).
• Experience of database security, data masking, auditing, and regulatory compliance.
• Experience with monitoring and observability tools (e.g., CloudWatch, Prometheus, Datadog, New Relic).

Preferred Qualifications:

• Certifications in cloud platforms (AWS Certified Database – Specialty, Azure Database Administrator Associate, etc.)
• Experience with multi-tenant SaaS environments and database scaling strategies.
• Experience with CI/CD pipelines and how databases integrate into DevOps workflows.
• Exposure to NoSQL and data warehousing technologies (e.g., Redis, DynamoDB, Snowflake)