Oracle Cloud Infrastructure Architect

3 days ago

India Miracle Software Systems, Inc Full time

Job Description Skills: OCI - Oracle Cloud Infrastructure,SAP BI reports, Looker Job Description: Data Warehouse Architect to lead the design and development of a scalable enterprise data warehouse platform on Oracle Cloud Infrastructure (OCI). The ideal candidate will bring deep expertise in data modeling, ERP data integration, and analytics modernization, with the ability to guide and train technical teams through implementation and best practices. Required Skills & Experience: - 10+ years of experience in Data Warehousing, Data Architecture, and Enterprise Analytics. - Strong hands-on experience with Oracle Cloud Infrastructure (OCI) particularly in designing and deploying Data Warehouse platforms. - Proven expertise in data modeling (conceptual, logical, and physical) for analytical workloads. - Experience with ERP data sources, including Oracle-based ERP systems and SAP BI report migration. - Proficiency with Looker dashboards or similar BI tools for enterprise reporting. - Solid understanding of ETL/ELT processes, data governance, and metadata management. - Excellent communication and team leadership skills with ablity to train and upskill technical teams effectively. Key Responsibilities: - Architect, design, and implement a data warehouse solution on OCI, ensuring performance, scalability, and data integrity. - Lead the migration of SAP BI reports to modern analytics environments, such as Looker or equivalent BI platforms. - Design and optimize data models that enable efficient analytics and reporting across ERP systems (Oracle and SAP). - Define and establish ETL/ELT pipelines, data flows, and integration frameworks supporting enterprise analytics. - Collaborate with business and IT stakeholders to translate data requirements into scalable technical solutions. - Provide technical mentorship and training to the development and analytics team on architecture, modeling, and governance standards. - Work onsite (23 days per week) to align with cross-functional teams, ensure smooth implementation, and troubleshoot complex data challenges.

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