Database Administrator (PaaS)

EXPERIENCE AND EDUCATION:

Essential Qualifications/Experience:

·         Extensive experience in data engineering, with a focus on designing, developing, and maintaining robust data pipelines

·         Strong proficiency in Microsoft SQL Server and other relational database management systems (RDBMS), including cloud-based platforms

·         Solid understanding of high availability (HA) and disaster recovery (DR) architectures, such as server clustering and virtualized infrastructures – essential for

·         In-depth knowledge of Microsoft data and reporting technologies (Power BI, SSRS, SSIS) and familiarity with Grafana

·         Experience in automation for database and data pipeline management tasks

·         Skilled in developing automation scripts using PowerShell/TSQL or Python to enhance data collection, transformation, and reporting workflows

·         Ensures data quality, consistency, and governance across integrated systems, following organizational data standards and compliance requirements

·         Implements secure data handling practices including access control, encryption, and audit logging

DUTIES/ROLE: 

·         Design, develop, and maintain data collection, transformation, and integration processes across multiple on-premises and cloud RDBMS platforms

·         Create, optimize, and maintain analytical and monitoring dashboards in Power BI, Grafana, and SSRS

·         Implement and manage automation tools and scripts for routine database administration, data extraction, and reporting

·         Produce dynamic reports and standardized templates to support database configuration management, performance monitoring, and lifecycle tracking

·         Manage installation, configuration, upgrades, and backups of database systems and related products both on-premises and in the cloud

·         Establish and maintain data governance and quality standards within reporting and integration processes

·         Stay current with database technology roadmaps, contributing to continuous improvement of lifecycle management, security, and data reliability