Data architect with oracle and AI exp en Radiant Digital

Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

8

Required

Experience in data architecture, data modeling, and data warehousing.

8

Required

Proficient in Oracle Database architecture, administration, and performance tuning

8

Required

Hands-on experience with Oracle RAC (Real Application Clusters) configuration and management

8

Required

Strong knowledge of data architecture principles and best practices.

8

Required

Proficient in writing complex SQL, PL/SQL, procedures, and performance-optimized queries

8

Required

Strong knowledge of Oracle Data Guard and high availability/disaster recovery strategies

8

Required

Familiarity with cloud-native database services and PaaS offerings

8

Required

Experience in database backup, restore, and recovery operations using RMAN

8

Required

Proficiency in cloud infrastructure management, including understanding of cloud-based data storage options, cloud security considerations, and best practices for deploying applications in the cloud.

8

Required

Develop and maintain enterprise data models, data warehouses, and data lakes to support analytics and reporting.

8

Required

Evaluate and integrate emerging technologies such as AI, machine learning, and big data analytics in healthcare.

8

Required

Ability to work in DevOps environments with CI/CD pipelines for database changes

8

Preferred

Experience transforming monolithic, on-premises data structures to microservice-aligned schemas

8

Preferred

Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps

8

Preferred

Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience.

8

Preferred

Fundamental understanding of the Information Management principles, IT processes, SDLC, architecture and technologies adopted by an organization.

8

Preferred

Customer-focused ability to communicate across all levels of the organization.

8

Preferred

Proactive Leadership style; self-starter and strong attention to detail.

3

Preferred

Proven experience within an integrated eligibility case management system.