Key Responsibilities
Database & Data Platform Management
- Administer and support GCP data platforms including Cloud SQL, BigQuery, Cloud Spanner, Firestore, and other data services as applicable.
- Monitor database health, performance, and capacity.
- Manage database configurations, upgrades, and patching activities.
- Ensure compliance with GCP best practices and data governance standards.
Data Availability & Integrity
- Ensure high availability of production and non-production data services.
- Implement and monitor replication, redundancy, and failover mechanisms.
- Perform regular data integrity checks and validation activities.
- Support data access control in coordination with IAM policies.
Backup, Recovery & Optimization
- Define, implement, and maintain database backup strategies aligned with RPO and RTO requirements.
- Perform data restoration and recovery activities during incidents or planned requests.
- Conduct regular backup verification and restoration testing.
- Optimize database performance, query efficiency, and storage usage.
Incident & Problem Management
- Participate in incident response and resolution for data-related incidents.
- Perform root cause analysis (RCA) for recurring data issues.
- Proactively identify risks related to data availability and performance.
- Coordinate with Cloud Engineers and Google Support when required.
Monitoring & Reporting
- Monitor database alerts and logs using GCP monitoring tools.
- Produce periodic operational and performance reports.
- Provide recommendations for continuous improvement and optimization.
Required Skills & Qualifications
- Strong experience in database administration and data platform operations.
- Hands-on experience with Google Cloud data services.
- Knowledge of backup, recovery, and disaster recovery methodologies.
- Understanding of data security, access control, and compliance principles.
- Familiarity with ITIL-based incident and problem management processes.
Experience & Certifications (Preferred)
- Google Cloud certifications (e.g., Professional Data Engineer) are an advantage.
