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Designs, governs, and maintains enterprise data architectures, including conceptual, logical, physical, and semantic models on Azure. Establishes standards for integration, lineage, metadata, data quality, master data management, and performance. Provides technical leadership, reviews solution designs, supports data pipelines and reporting ecosystems, and contributes to platform strategy, governance, proof-of-concepts, RFPs, and AI/ML enablement. Collaborates with IT, business stakeholders, and Data Office teams to deliver secure, scalable, reliable data solutions.

Designs scalable, secure enterprise data platforms and end-to-end solutions across Azure and AWS. Responsibilities include data architecture, cloud modernization, ETL/ELT pipelines, streaming, governance, integration, AI/ML foundations, feature stores, MLOps, generative AI enablement, cost optimization, and stakeholder advisory. The role provides architectural standards, migration plans, technical recommendations, and production support while partnering with business, IT, data engineering, and analytics teams.

Designs, maintains, and publishes enterprise data models supporting reporting and advanced analytics. Translates business and technology requirements into physical and semantic data structures, mappings, metadata, lineage, and integration standards across an Azure data platform. Collaborates with data engineers, developers, business stakeholders, and IT teams on solution design, performance, governance, quality, testing, and production support. Contributes to RFPs, data education, training, and organization-wide data strategy and adoption.

One-year, full-time paid internship program (2 positions) for Indigenous recent graduates in Saskatchewan. Placements available across SGI teams (Auto Fund, Claims, Facilities, Marketing, Finance, Salvage, HR, IT). Provides hands-on work, mentorship, professional development, and eligibility-based support to build a career at SGI.