Cloud Database Administrator

Zarthi; Dadri; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Zarthi is seeking a skilled AWS Data Platform Engineer to manage and optimize enterprise-scale AWS data platforms across production environments. The role emphasizes reliability, scalability, security, backup compliance, and operational excellence for relational databases, object storage, data lakes, and analytics services.

The ideal candidate will have hands-on experience with RDS/Aurora, S3, AWS Backup, and AWS-native analytics, plus expertise in performance tuning, disaster recovery,

Qualifications

• 3-6 years of hands-on AWS data platform experience.
• Strong operational expertise in RDS/Aurora, S3, and AWS Backup.
• Experience with disaster recovery, governance, monitoring, and automation.

Responsibilities

• Operate Amazon RDS and Aurora across development, staging, and production.
• Configure and maintain Multi-AZ deployments, read replicas, replication strategies, and failover mechanisms.
• Manage S3 storage environments, lifecycle policies, replication, and archival workflows.
• Monitor performance, backups, DR drills, and cost optimization.

Skills

AWS RDS/Aurora

Amazon S3

AWS Backup

CloudWatch

IAM

KMS

Terraform

CloudFormation

DynamoDB

Tools

Terraform

CloudFormation

Lambda

Job description

We are seeking a highly skilled AWS Data Platform Engineer (Exp: 3 - 6 yrs) to manage, operate, and optimize enterprise-scale AWS data platforms across production environments. The role focuses on ensuring reliability, scalability, security, backup compliance, and operational excellence across relational databases, object storage, data lakes, and analytics services.

The ideal candidate should possess strong operational expertise in Amazon RDS/Aurora, Amazon S3, AWS Backup, and AWS-native analytics platforms, with hands‑on experience in performance optimization, disaster recovery, governance, monitoring, and automation.

Key Responsibilities:

AWS Database Platform Operation

• Manage and operate Amazon RDS and Aurora database environments across development, staging, and production
• Configure and maintain Multi-AZ deployments, read replicas, replication strategies, and failover mechanisms
• Perform database patching, upgrades, maintenance scheduling, and parameter tuning
• Monitor database performance, replication lag, storage utilization, and query efficiency
• Troubleshoot SQL performance bottlenecks, deadlocks, connectivity issues, and operational failures
• Implement backup, recovery, snapshot management, and Point-in-Time Recovery (PITR) strategies
• Conduct database restoration validation and disaster recovery drills
• Support schema migration and production deployment activities
• Perform capacity planning for compute, storage, IOPS, and throughput requirements

AWS Storage & Data Lake Operation

s

• Manage enterprise-scale Amazon S3 storage environments for application, analytics, and archival workloads
• Configure bucket policies, lifecycle policies, replication, versioning, and archival strategies
• Implement storage tiering and archival workflows using Glacier and Intelligent Tiering
• Monitor storage growth, access patterns, and optimize storage costs
• Configure and manage cross-region replication (CRR) and same-region replication (SRR)
• Ensure secure access management using IAM policies, bucket policies, VPC endpoints, and encryption controls
• Support operational management of data lake environments using AWS Glue, Athena, and Lake Formation

Backup, Recovery & Disaster Recover

• Configure and manage AWS Backup policies across databases, storage, and related services
• Implement centralized backup governance and retention policies
• Monitor backup health, recovery points, and backup job success/failure
• Design and validate disaster recovery procedures aligned to defined RPO/RTO objectives
• Conduct periodic recovery and restoration testing
• Manage cross-account and cross-region backup strategies for business continuity

Monitoring, Reliability & Operations

• Configure monitoring, alerting, and observability using CloudWatch, OpenSearch, and related AWS services
• Develop operational dashboards and automated alerting for critical infrastructure metricss
• Ensure high availability, scalability, reliability, and operational stability of data platform
• Troubleshoot production incidents, storage failures, pipeline disruptions, and service degradation
• Participate in on‑call support and incident management processes
• Create operational runbooks, SOPs, and recovery procedures

Security, Governance & Compliance

• Implement encryption at rest and in transit using AWS KMS and AWS‑native security controls
• Manage secrets, credentials, and database authentication mechanisms
• Enforce governance, access control, backup retention, and compliance standards
• Support audit readiness and operational compliance reporting

Automation & Cost Optimization

• Automate infrastructure provisioning and operational workflows using Terraform, CloudFormation, Lambda, or scripting too
• Optimize database and storage costs through lifecycle management, tiering, reserved capacity, and utilization analysis
• Continuously improve operational efficiency, monitoring coverage, and platform reliability

Required Skills & Experience:

Must-Have AWS Services

• Amazon RDS / Aurora
• Amazon S3
• AWS Backup
• Amazon DynamoDB
• Amazon CloudWatch
• AWS IAM
• AWS KMS

Core Technical Skills:

• Strong understanding of relational database concepts, backup/recovery, replication, and high availability
• Experience with S3 lifecycle management, replication, archival, and storage optimization
• Hands‑on experience in disaster recovery planning and restoration testing for databases
• Experience troubleshooting database and storage performance issues
• Knowledge of monitoring, alerting, and operational observability
• Familiarity with Infrastructure as Code (Terraform or CloudFormation)
• Understanding of security best practices and governance controls in AWS

Note: This is not a Data Engineer position. Candidates with primarily Data Engineer/AWS Data Engineer experience are requested not to apply.