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Job Description & How to Apply Below
Data Architect
We are seeking a Data Architect with hands‑on expertise in Oracle Fusion Database integration and strong proficiency in the Microsoft data ecosystem
. This role will be pivotal in designing, building, and optimizing our data pipelines, warehouse structures, and analytics solutions to support business intelligence and decision‑making.
Data Architect Contract Duration:
Yearly Renewable
Key Responsibilities
- Data Integration
- Access and extract data from Oracle Fusion Database with a solid understanding of its table structures.
- Design and implement efficient data ingestion pipelines using Azure Data Factory.
- Ensure data quality, consistency, and security throughout the import process.
- Develop and maintain a robust star schema in SQL Server Analysis Services (SSAS).
- Optimize data models for performance and scalability.
- Collaborate with stakeholders to translate business requirements into technical data models.
- Design and maintain database tables to support structured and scalable data storage.
- Build interactive dashboards and reports in Power BI.
- Deliver actionable insights through advanced analytics and data storytelling.
- Create and manage paginated reports for detailed, print‑ready reporting needs.
- Support self‑service BI initiatives across the organization.
- Work closely with IT, business analysts, and stakeholders to align data solutions with organizational goals.
- Establish best practices for data management, governance, and documentation.
- Provide guidance on data architecture standards and emerging technologies.
- 5–7 years of experience in Data Architecture, Data Integration, and BI solutions.
- Minimum 3 years of hands‑on experience with Oracle Fusion Database and data warehousing integrations.
- Strong expertise in Azure Data Factory, SSAS, Power BI, SQL, and performance tuning.
- Good understanding of ETL, star schema, dimensional modeling, and scalable database design.
- Experience in paginated reporting and enterprise BI solutions.
- Strong communication, collaboration, and problem‑solving skills.
- Experience with Azure Synapse Analytics or cloud data warehouse platforms.
- Knowledge of data governance, security best practices, and enterprise‑scale BI implementations.
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