Principal Oracle Database Consultant

Principal Consultant

Key Responsibilities:

• Install, configure, upgrade, and patch Oracle database software (single instance and RAC environments).
• Administer and monitor database performance, capacity, and security using Oracle tools (OEM, Data Guard, RMAN, etc.).
• Implement and manage database backup/recovery procedures and disaster recovery strategies.
• Troubleshoot complex database, performance, and application-related issues.
• Plan and implement database migrations and upgrades.
• Automate routine database administration tasks using scripting (Shell, PL/SQL, Python, etc.).
• Develop and optimize database structures for AI workloads and analytics, enabling efficient data integration with AI/ML tools.
• Collaborate with data science, AI, and development teams to design and support AI-driven applications and analytics in Oracle environments.
• Implement and support Oracle features related to AI, such as Oracle Machine Learning (OML), and integrate with other AI/ML platforms as needed.
• Ensure data quality, security, and compliance in support of AI-driven automation and analytics initiatives.
• Maintain database documentation and adhere to security and compliance requirements.
• Mentor junior DBAs and provide 24x7 support for critical production systems as needed.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 5+ years’ experience as an Oracle DBA in mission-critical environments.
• Expertise in Oracle versions 12c/19c and experience with RAC and Data Guard.
• Strong knowledge of performance tuning, backup/recovery, and high availability.
• Experience working with AI/ML workflows, Oracle Machine Learning, or related analytics platforms.
• Proficient in SQL, PL/SQL, and Linux/Unix environments.
• Familiar with ITIL, change management, and incident management processes.
• Oracle Certified Professional (OCP) certification preferred.

Key Skills:

• Oracle RAC, Data Guard, OEM Cloud Control
• Oracle Machine Learning (OML) or experience supporting AI/ML workloads
• RMAN backup and recovery
• Database performance tuning
• Scripting (Shell, Python, etc.)
• Security, compliance, and auditing best practices
• Familiarity with data pipelines and AI/ML model integration
• Strong communication and documentation skills

Key Responsibilities:

• Install, configure, upgrade, and patch Oracle database software (single instance and RAC environments).
• Administer and monitor database performance, capacity, and security using Oracle tools (OEM, Data Guard, RMAN, etc.).
• Implement and manage database backup/recovery procedures and disaster recovery strategies.
• Troubleshoot complex database, performance, and application-related issues.
• Plan and implement database migrations and upgrades.
• Automate routine database administration tasks using scripting (Shell, PL/SQL, Python, etc.).
• Develop and optimize database structures for AI workloads and analytics, enabling efficient data integration with AI/ML tools.
• Collaborate with data science, AI, and development teams to design and support AI-driven applications and analytics in Oracle environments.
• Implement and support Oracle features related to AI, such as Oracle Machine Learning (OML), and integrate with other AI/ML platforms as needed.
• Ensure data quality, security, and compliance in support of AI-driven automation and analytics initiatives.
• Maintain database documentation and adhere to security and compliance requirements.
• Mentor junior DBAs and provide 24x7 support for critical production systems as needed.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 5+ years’ experience as an Oracle DBA in mission-critical environments.
• Expertise in Oracle versions 12c/19c and experience with RAC and Data Guard.
• Strong knowledge of performance tuning, backup/recovery, and high availability.
• Experience working with AI/ML workflows, Oracle Machine Learning, or related analytics platforms.
• Proficient in SQL, PL/SQL, and Linux/Unix environments.
• Familiar with ITIL, change management, and incident management processes.
• Oracle Certified Professional (OCP) certification preferred.

Key Skills:

• Oracle RAC, Data Guard, OEM Cloud Control
• Oracle Machine Learning (OML) or experience supporting AI/ML workloads
• RMAN backup and recovery
• Database performance tuning
• Scripting (Shell, Python, etc.)
• Security, compliance, and auditing best practices
• Familiarity with data pipelines and AI/ML model integration
• Strong communication and documentation skills

Career Level - IC3

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Experience Level

Senior Level