Database Architect

2 days ago


Surat, Gujarat, India beBeeDatabase Full time US$ 10,00,000 - US$ 15,00,000
Database Systems Specialist

The role of a Database Systems Specialist is critical in ensuring the availability, performance, security, and reliability of databases. The specialist will work closely with various teams to design, optimize, and troubleshoot database systems that support healthcare delivery at scale.

Key Responsibilities:

* Design, implement, and maintain relational database systems on-premises and on cloud platforms such as AWS RDS, Aurora, Azure SQL, and GCP Cloud SQL

* Monitor database performance and tune queries, indexes, and configurations to ensure optimal response times using tools like CloudWatch, Performance Insights, Grafana, or pgAdmin

* Implement data security, integrity, backup, and recovery processes and regularly test them using traditional and cloud-native approaches

* Automate routine database maintenance and deployment tasks using CI/CD pipelines, Terraform, or AWS-native services

* Troubleshoot database-related issues in production and non-production environments, including performance bottlenecks, connectivity issues, and cloud integration errors

Desirable Qualifications & Experience:

* Strong hands-on experience with MySQL (experience in SQL Server/Oracle is a plus)

* Expertise in database monitoring and observability tools (e.g., pgAdmin, Prometheus, Grafana, CloudWatch, New Relic, Performance Insights)

* Deep understanding of query optimization, indexing strategies, and performance tuning in high-transaction environments

* Experience with backup, recovery, replication, clustering, and failover strategies on-premises and cloud

* Familiarity with Linux environments, shell scripting, and automation tools (Ansible, Terraform, CI/CD pipelines)

* Good understanding of APIs, application-database interactions, and deployment workflows in microservices-based architectures

* Hands-on experience with cloud-based databases such as AWS RDS, Aurora, Azure SQL, or GCP Cloud SQL — including provisioning, scaling, security, and monitoring

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