Project: We’re looking for a Senior Data Architect to design and lead the implementation of an enterprise-grade data lake architecture, integrating legacy Hyperion data with modern platforms like OneStream, Azure Data Lake, and other financial and HR systems. In this role, you will define a unified dimensional model, ensure data consistency, and enable advanced analytics and AI-readiness across the organization . You'll work closely with stakeholders in Finance, HR, and IT to deliver a governed, future-proof data platform that powers cross-functional decision-making. Title: Data Architect/Modeller - Senior Contract: 7 Months( Business Days: 135.00) Hybrid: 2 Days onsite Location: Toronto, ON Must Haves: Architect and develop a robust dimensional data model across OneStream, Hyperion, Oracle EBS, HCM, and Workbrain systems. – Finance within a company Design and optimize fact and dimension tables, data marts, and calculated metrics within the Azure Data Lake to support analytical and operational reporting. Lead ETL/ELT strategy and implementation to integrate historical and current data sources with a focus on scalability and performance. Implement and maintain data security controls , such as encryption, role-based access controls (RBAC) policies, privacy standards, and adherence to governance standards Required Skills & Qualifications Proven experience in dimensional data modeling, data lake architecture, and enterprise data integration. Strong knowledge of OneStream, Hyperion, and financial systems such as Oracle EBS or equivalent. Hands-on expertise with Azure Data Lake, Power BI, and cloud-based analytics environments. Proficient in ETL/ELT development, data transformation, and scripting (SQL, Python, etc.). Solid understanding of metadata management, data governance, and lineage tracking. Experience implementing data security, encryption, and compliance controls. Familiarity with building and maintaining data marts for self-service analytics. Excellent communication and stakeholder engagement skills across business and technical teams. Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.