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We are seeking a highly accomplished Senior Database Administrator to take full technical ownership of the physical design, architectural implementation, optimization, and administration of enterprise data management systems (DBMS). In this role, you will support critical infrastructure assets across both on-premise and cloud topologies. Operating at the core intersection of high-availability engineering and complex data manipulation, you will engineer robust Extraction, Transformation, and Load (ETL) routines, spearhead large-scale cloud migrations, and implement high-tier clustering and replication frameworks to ensure optimal data integrity, absolute system availability, and proactive capacity planning.
Job Responsibility
Enterprise DBMS Administration: Lead the installation, multi-node configuration, maintenance, technical cloning, and complex structural upgrade of enterprise relational database environments
Advanced Database Design & Modeling: Author low-level physical database designs, logical storage models, and distributed data layouts to align with enterprise architecture principles
High-Availability & Replication Engineering: Implement, patch, and manage robust disaster recovery and data clustering matrices using Oracle Real Application Clusters (RAC), GoldenGate, and Data Guard technologies
Complex Programmable Logic & ETL: Design, develop, and maintain high-performance, very strong PL/SQL data extraction procedures, database triggers, custom functions, and modular packages
Performance Tuning & Diagnostic Analysis: Run deep-dive system query optimizations, execute schema indexing tuning, audit execution plans, and eliminate wait-state bottlenecks across Oracle and Microsoft SQL Server systems
Cloud Migration & Hybrid Integration: Architect and execute structured data migrations from legacy on-premise iron configurations into Microsoft Azure and Oracle Cloud Infrastructure (OCI) platforms
Proactive Capacity & Infrastructure Planning: Formulate comprehensive hardware and storage projections, compute scaling factors, and manage structural capacity planning parameters
Security Remediation & Patch Management: Research, evaluate, and apply critical technology stack patch sets, maintenance packs, and cybersecurity vulnerability remediations
Operations, Backup, & Recovery Governance: Enforce rigid database rules, oversee enterprise-level automated backup and point-in-time recovery workflows, and manage environment status logs via ITIL procedures (Incident, Problem, Change, and Configuration management)
Cross-Functional Collaboration & Technical Mentorship: Utilize advanced information retrieval packages and administration interfaces (TOAD, Oracle Enterprise Manager - OEM, and DB Artisan) to triage technical problems alongside Cloud Architects, Middleware Engineers (WebLogic), and Project Managers
Requirements
10+ years of progressive professional experience in enterprise-level database administration, database design, software implementation, maintenance, and multi-tiered vendor support
5+ years of verified, very strong experience writing PL/SQL configurations, constructing complex data transformation routines (ETL), and applying rigorous database query optimization techniques
Direct, hands-on administrative expertise installing, migrating, and configuring enterprise database engines across both Oracle Database and Microsoft SQL Server environments
Practical infrastructure engineering experience configuring and maintaining high-availability technologies, specifically Oracle RAC, GoldenGate, and Data Guard
Proven experience translating on-premise database workloads into production-ready Microsoft Azure and Oracle Cloud Infrastructure (OCI) platforms
High proficiency leveraging industry-standard administrative interfaces and query utilities, explicitly TOAD, Oracle Enterprise Manager (OEM), and DB Artisan
Solid practical background executing database tasks under formalized Incident, Problem, Change, Configuration, and Capacity Management workflows
Outstanding analytical, decision-making, and verbal/written communication mechanics, with an established track record of tracking data dependencies and meeting strict targets under compressed timelines