Senior Professional, Oracle Database Design & Administration

Summary

Join Ingram Micro to lead the design and evolution of enterprise-scale Oracle database pipelines. We are seeking a Senior Oracle Database Design & Administration to execute strategies across Oracle platforms, messaging frameworks, and data pipeline architecture. This role is essential in ensuring our technical solutions align seamlessly with global business domain needs.

• Technical Ownership: Lead the daily engineering of Oracle database pipelines and complex data replication processes.
• Business Mapping: Partner with stakeholders to ensure database architectures accurately reflect core business processes (orders, vendors, customers) while preserving data integrity.
• Core Engineering: Perform advanced PL/SQL engineering, including the development of triggers, procedures, and packages, alongside rigorous performance tuning.
• Middleware Support: Support and troubleshoot IBM MQ architecture; manage queue-level operations, backlog analysis, and message flow integrity.
• Observability: Monitor daily latency and manage Change Data Capture (CDC) workflows to ensure data accuracy and prevent system downtime.
• Modernization: Contribute to multi-year modernization initiatives, including cloud migrations (GCP) and the automation of manual database tasks.
• Problem Solving: Resolve complex cross-platform data flow issues and document solutions to enhance long-term system efficiency.

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• 5+ years of relevant technical experience in Database Engineering or Administration, with a deep focus on the Oracle ecosystem.
• Advanced proficiency in Oracle database engineering and PL/SQL development.
• Hands-on experience managing Message Queuing (MQ) and distributed data flows.
• Solid understanding of Change Data Capture (CDC) processes and data integration methodologies.
• Performance Tuning: Proven ability to identify and resolve inefficient database operations and optimize query performance.
• Collaboration: Strong communication skills with the ability to translate technical complexities for cross-functional stakeholders.
• Reliability: Strong understanding of high-availability concepts and a commitment to data reliability in large-scale production environments.

• Familiarity with Mainframe technologies or legacy data structures.
• Experience with Cloud data migrations (specifically Google Cloud Platform).
• Proficiency in scripting for automation (e.g., Python or Java).