Remote Oracle Fusion Analytics Architect | Data Strategy

Computer Task; United States; Remote; USD 96,000 - 110,000; Full time

Job summary

CTG seeks an Oracle Fusion Data & Analytics Architect to lead end-to-end data architecture across Oracle Fusion ERP, HCM, SCM, and CX. You will design, develop, and manage ETL/ELT pipelines, configure FDI, extend data models, and build executive dashboards in OAC.

You will establish data governance and reporting standards, collaborate with stakeholders and architects, and optimize pipelines for accuracy and performance in a remote, 6-month engagement.

Qualifications

• Design enterprise data architecture for Oracle Fusion Cloud environments.
• Implement ETL/ELT pipelines across Oracle Fusion and external sources.
• Develop executive dashboards and analytics using OAC; extend data models.

Responsibilities

• Lead end-to-end data architecture for Oracle Fusion ERP, HCM, SCM, CX.
• Design, develop, and manage ETL/ELT pipelines integrating Oracle Fusion with non-Oracle sources.
• Configure FDI subject areas and extend delivered data models with custom measures.
• Create interactive dashboards and reports in Oracle Analytics Cloud for executives.
• Set data governance and reporting standards to enable enterprise analytics.
• Collaborate with stakeholders and architects to translate requirements into scalable solutions.
• Optimize data pipelines and reporting performance for accuracy and reliability.

Skills

Oracle Fusion ERP

FDI

ADW

OAC

Data architecture

ETL/ELT

Data governance

Dashboards

Stakeholder collaboration

Problem-solving

Communication

Education

Bachelor’s degree in CS/IS/Data Eng

Oracle Cloud certifications

Tools

Oracle Fusion ADW

Oracle Analytics Cloud

Job description

CTG seeks an Oracle Fusion Data & Analytics Architect to lead end-to-end data architecture across Oracle Fusion ERP, HCM, SCM, and CX. You will design, develop, and manage ETL/ELT pipelines, configure FDI, extend data models, and build executive dashboards in OAC.

You will establish data governance and reporting standards, collaborate with stakeholders and architects, and optimize pipelines for accuracy and performance in a remote, 6-month engagement.