Staff Database Administrator

As a  Staff Database Administrator (DBA) at Intelex Technologies, you will be responsible for ensuring the reliability, scalability, performance, and security of the data platforms underpinning our mission-critical SaaS applications. You will serve as a technical leader for the design, implementation, performance tuning, high availability, and security of our database infrastructure in global regions across AWS and Azure clouds. Working within the Cloud Operations team, you will:

Serve as the technical authority for database platforms, establishing standards, roadmaps, and operational best practices across the organization.

Lead cross-functional database initiatives and provide technical direction across engineering, cloud operations, and platform teams.

Influence platform architecture decisions through collaboration with engineering leadership and enterprise architects.

Drive database modernization initiatives, including platform standardization, automation, and cloud adoption.

Mentor DBAs and engineers through design reviews, knowledge sharing, training, and documentation.

Develop observability standards using monitoring, telemetry, and alerting platforms to proactively identify and resolve issues.

Responsibilities and Deliverables

Database Administration & Architecture

• Design, implement, and optimize databases across MS SQL Server, and Oracle environments.
• Participate in architecture/design reviews, ensuring database structures align with application needs and performance goals.
• Define and maintain best practices for schema design, indexing strategies, and query optimization.
• Participate in and help drive database design governance, standards, and review processes.

Performance Tuning & Scalability

• Conduct proactive query tuning, execution plan analysis, and indexing strategies to optimize database performance.
• Monitor, troubleshoot, and resolve performance bottlenecks across MS SQL Server, and Oracle.
• Implement partitioning, replication, and caching to improve data access and efficiency.
• Design and implement automated database deployment and migration frameworks.

High Availability, Replication & Disaster Recovery

• Design and implement HA/DR solutions for all supported databases, including MS Clustering, Always On Availability Groups, and Oracle Data Guard.
• Perform capacity planning and ensure proper backup and recovery strategies are in place.
• Automate and test failover and recovery processes to minimize downtime.

Security & Compliance

• Implement role-based access control (RBAC), encryption, auditing, and compliance policies across all database environments.
• Ensure adherence to SOC 2, ISO 27001, GDPR, and HIPAA security standards.
• Collaborate with security teams to identify and mitigate vulnerabilities.

DevOps, CI/CD, & Automation

• Integrate database changes into CI/CD pipelines, ensuring automated schema migrations and rollbacks.
• Use Terraform or other IaC tools for database provisioning and configuration management.
• Automate routine maintenance tasks, monitoring, and alerting using New Relic and PagerDuty or similar.

Incident Response & On-Call Support

Participate in a rotational on-call schedule supporting critical production database services.

Conduct root cause analysis and implement long-term fixes for database-related issues.

Qualifications & SkillsRequired

• 10+ years of experience managing enterprise database platforms, including expert-level SQL Server administration and experience supporting Oracle and PostgreSQL environments.
• Expertise in database performance tuning, query optimization, and execution plan analysis.
• Strong experience with replication, clustering, and high-availability configurations.
• Hands-on experience with cloud databases in AWS or Azure (RDS, Azure SQL, Oracle Cloud, etc.).
• Solid experience with backup strategies, disaster recovery planning, and failover testing.
• Proficiency in T-SQL, PL/SQL, and PostgreSQL SQL scripting.
• Experience automating database tasks using PowerShell, Python, or Bash.
• Bachelor's degree in Computer Science, or Data Engineering, or equivalent experience.