
51 - 200 employees
Founded 2001
🎯 Recruiter
🤝 B2B
🏛️ Government
Recruitment • B2B • Government
MGIS is a recruitment agency that specializes in connecting qualified professionals with organizations, including the Government of Canada and international corporations. With over 20 years of experience, MGIS emphasizes personalized service and a commitment to fair pay and candidate satisfaction. The company offers tailored recruitment and onboarding solutions, focusing on building long-term relationships rather than merely filling positions.
🕒 May 28
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51 - 200 employees
Founded 2001
🎯 Recruiter
🤝 B2B
🏛️ Government
Recruitment • B2B • Government
MGIS is a recruitment agency that specializes in connecting qualified professionals with organizations, including the Government of Canada and international corporations. With over 20 years of experience, MGIS emphasizes personalized service and a commitment to fair pay and candidate satisfaction. The company offers tailored recruitment and onboarding solutions, focusing on building long-term relationships rather than merely filling positions.
• Define and maintain enterprise data architecture strategies, standards, and target-state models aligned with organizational priorities • Develop data architecture blueprints covering data ingestion, storage, integration, access, and lifecycle management • Establish and promote data architecture principles, patterns, and reference models across the organization • Ensure alignment between data architecture, enterprise architecture, and digital transformation initiatives • Design conceptual, logical, and physical data models to support business applications, analytics, and reporting needs • Ensure data models are scalable, reusable, and optimized for performance and integration • Define standards for metadata, data classification, and data structures across enterprise systems • Support the design of data warehouses, data lakes, and hybrid data solutions • Design and implement integration frameworks supporting ETL, ELT, APIs, and real-time data streaming • Define data exchange patterns to enable interoperability between systems and platforms • Ensure integration approaches align with enterprise standards, security requirements, and performance expectations • Support implementation of cloud-based data platforms, with a strong emphasis on Microsoft Azure services • Lead migration of legacy data repositories, file shares, and on-premise systems to SharePoint Online and Microsoft 365 • Define information architecture for SharePoint, including site design, content structures, and metadata frameworks • Ensure data migration approaches maintain data integrity, classification, and retention requirements • Leverage tools such as ShareGate or equivalent to support efficient, auditable migration processes • Define and enforce enterprise data governance frameworks, including data quality, stewardship, and lifecycle management • Establish standards for data security, privacy, and access control aligned with organizational policies and regulatory requirements • Ensure compliance with applicable standards and privacy legislation • Support development of retention and disposition rules aligned with information and records management practices • Partner with business units, analytics teams, and developers to ensure data solutions meet operational and analytical needs • Provide guidance on data architecture best practices during project design and delivery • Collaborate with architects, engineers, and information management specialists to ensure cohesive and integrated solutions • Support adoption of data-driven practices and tools across the organization • Maintain and organize data architecture artifacts, models, and documentation within the enterprise architecture repository • Ensure documentation is accurate, structured, and aligned with governance and audit requirements • Contribute to enterprise standards, templates, and knowledge-sharing practices • Support administration and continuous improvement of architecture repository content • Assess and optimize data platforms for performance, scalability, and cost efficiency • Identify opportunities to modernize legacy data environments and eliminate technical debt • Evaluate emerging technologies and tools to enhance data capabilities, including AI and advanced analytics platforms • Promote reuse of data assets, integration patterns, and shared services.
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field preferred • Microsoft Certified: Azure Data Engineer Associate or equivalent certification preferred • Certifications in cloud platforms such as AWS, Azure, or GCP considered an asset • Microsoft Power Platform Developer or equivalent certification considered an asset • Certifications related to data governance, data management, or business intelligence considered an asset • Proven experience in data architecture, data modelling, and database design • Strong expertise in cloud data platforms, particularly Microsoft Azure data services • Hands-on experience with relational, NoSQL, and big data technologies • Experience designing and implementing ETL, ELT, API-based, and streaming data integration solutions • Demonstrated experience migrating data from legacy or on-premise environments to SharePoint Online and Microsoft 365 • Experience with migration tools such as ShareGate or equivalent • Strong background in information management and records management, including SharePoint on-premise and online. • Experience with Microsoft Power Platform development and integration • Strong understanding of data governance, security, and compliance frameworks • Ability to design and manage SharePoint site architecture, permissions, and integration with M365 tools.
• This is a remote consulting opportunity supporting a government client. • Subcontractor Opportunity: This is not an employee position. The successful consultant must be incorporated and able to provide services through their corporation.
Apply Now🕒 March 10
Data Engineering Lead building critical data foundations for AI systems in an operational AI firm. Collaborate with architects and engineers to drive logistics data insights.