
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.
Cloud
ERP
ETL
Node.js
Postgres
Python
SQL