About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Enterprise Data Warehouse Architect based in Canada.
Responsibilities
- Assess current-state data architectures, models, integrations, systems, and data flows to identify modernization opportunities.
- Define transition-state and target-state data architectures aligned with business objectives, technology strategies, and industry best practices.
- Develop architecture roadmaps supporting migration to Microsoft Fabric and adoption of modern data platform capabilities.
- Design and maintain conceptual, logical, and physical data models that support enterprise data requirements.
- Design and document end-to-end data flows, integration patterns, transformation approaches, and data lifecycle processes.
- Analyze existing systems and recommend opportunities for rationalization, modernization, improved data quality, and greater architectural efficiency.
- Collaborate with data architects, systems architects, enterprise architects, product managers, delivery teams, and business stakeholders to align data architecture with business capabilities.
- Establish and promote standards, principles, patterns, and best practices for data architecture, modeling, governance, and integration.
- Provide architectural guidance, technical reviews, and recommendations to implementation and engineering teams.
- Evaluate and recommend approaches for data integration, reporting, analytics, information management, and enterprise data platforms.
- Contribute to the continued evolution of enterprise data architecture, governance, metadata management, and master data practices.
Requirements
- 10+ years of professional experience in data architecture, with demonstrated ownership of complex enterprise data initiatives.
- Proven experience defining current-state, transition-state, and target-state architectures and developing data modernization roadmaps.
- Hands-on experience with Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, medallion architecture, and analytics capabilities.
- Strong experience with cloud-based data modernization and contemporary enterprise data platforms.
- Advanced expertise in conceptual, logical, and physical data modeling.
- Strong experience designing data integration, transformation processes, and end-to-end data flows.
- Experience with architecture and data modeling tools, preferably Sparx Enterprise Architect.
- Experience with business architecture or enterprise architecture in complex organizations.
- Strong understanding of data governance, metadata management, and master data management.
- Experience with Power BI and enterprise analytics environments.
- Familiarity with TOGAF or another recognized enterprise architecture framework.
- Advanced written and verbal communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences.
- Strong analytical, problem-solving, and decision-making abilities, combined with meticulous attention to detail.
- Ability to manage competing priorities, adapt to changing requirements, and work effectively across multiple initiatives.
- Strong interpersonal and leadership skills, with the ability to influence stakeholders and guide data transformation across projects, departments, and divisions.
- Demonstrated ability to work independently and deliver practical architectural solutions within complex enterprise environments.
Conditions
- 6-month contract initially, with potential continuation at the client's discretion.
- Remote working arrangement.
- 8 billable working hours per day.
- Opportunity to contribute to a large-scale enterprise data modernization initiative.
- Exposure to Microsoft Fabric, cloud data platforms, enterprise architecture, analytics, and data governance.
- Opportunity to influence target-state architecture, modernization roadmaps, and long-term data strategy.
- Collaboration with senior technical, business, and delivery stakeholders across a complex enterprise environment.