TWK_2895 Sr.Oracle Data administrator(oracle / AWS Cloud) position with state of Texas | Austin-TX#Hybrid | local profiles only

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Requirement details:
Internal job ID:TWK_2895

Oracle Data administrator(Cloud / AWS Cloud )

State of Texas

Austin, TX-78751 # hybrid

Interview mode: ☒In-person ☒ Through Microsoft Teams

NOTE:

The working position is Hybrid
Position will be 3 days remote with 2 days (Mondays and Thursdays) required to be onsite at the location listed above
Program will only allow candidates who are LOCAL TO TEXAS State only
Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.

Total EXP:15+ years Above

Job Summary:

The Senior Data Administrator will lead the modernization of legacy systems and drive the implementation of modular, scalable, and cloud-native data solutions in support of Client's transformation objectives. This role requires deep expertise in Oracle Database, AWS, and cloud-native architecture. The administrator will be responsible for optimizing database performance, ensuring secure cloud deployments, and collaborating across cross-functional teams to enable agile delivery and maintain architectural governance. The position is critical to ensuring secure, accurate, and efficient management of data across both legacy and modern systems.

Required Skills

Strong expertise in Oracle Database architecture, administration, and performance tuning
Hands-on experience with Oracle RAC (Real Application Clusters) configuration and management
Deep understanding of data architecture, data modeling, and data warehousing
Advanced proficiency in SQL and PL/SQL for writing complex, performance-optimized queries
Expertise in Oracle Data Guard and high availability/disaster recovery strategies
Proficiency with RMAN for database backup, restore, and recovery operations
Experience managing cloud infrastructure and cloud security best practices (preferably AWS)
Familiarity with cloud-native databases and PaaS offerings
Ability to develop and maintain enterprise data models, data warehouses, and data lakes
Knowledge of AI, machine learning, and big data analytics integration in data environments
Experience working in DevOps environments with CI/CD pipelines for database changes