Work Location: Regina, Head Office. Remote work may be considered if you reside outside Regina but within Saskatchewan.

Posting Close Date: September 13, 2026 We're looking for a Data Solution Architect to play a critical role in shaping our enterprise data and analytics ecosystem. In this role, you will transform our data architecture into practical, implementable solutions that support modern data platforms, analytics capabilities, and business innovation. As a Data Solution Architect, you will be at the intersection of architecture, data engineering, and business transformation.

You will define how data architecture is implemented through end-to-end solution designs aligned with platform infrastructure, integration patterns, and enterprise standards, enabling our data's future growth and building the trusted data foundation that supports critical decision-making across SGI. Working closely with Data Architects, Data Engineers, and IT stakeholders, you will ensure data solutions are implemented, sustained, and aligned with data standards and platform strategy. You bring a combination of technical expertise, strategic thinking, and relationship-building skills, including: Experience designing and implementing enterprise data solutions that support analytics, reporting, AI/ML, and business intelligence initiatives.

Solid knowledge of modern data architecture principles and patterns, including Lakehouse, Medallion, Data Vault, and Data Mesh architectures. Expertise in solution architecture, database design, application integration, and cloud-based data platforms. Hands-on experience with Azure data technologies such as Azure Data Lake, Synapse Analytics, Azure Data Factory, Databricks, Cosmos DB, Blob Storage, and related cloud services.

Experience using data modeling and architecture tools to design solutions that meet performance, scalability, and operational requirements.

Experience within the industry insurance is considered an asset.



Ability to translate business and architectural requirements into practical, implementable technical solutions. Ability to design secure, integrated, and cost-effective data solutions that align with enterprise standards and business objectives.

The skills and experience for this role are typically gained through a four-year degree in a relevant field of study, like Computer Science, Mathematics & Applied Science, Engineering, or Information Technology, or defined equivalency, along with six years’ experience in data engineering, and enterprise data solutions, with progressive involvement in data architecture, Azure and cloud-based data platforms, and data integration initiatives. At SGI, we have built a culture we are proud of and continue to invest in it to ensure our actions reflect our corporate values of caring, passion, innovation, and integrity. We support continuous learning through professional development opportunities, leadership and employee training, and education funding so you can continue building your skills and advancing your career.

Your work will help transform our data architecture into real-world solutions that power analytics, enable innovation, and support strategic decision-making across the organization. By designing solutions that are scalable, secure, and future-ready, you'll play a key role in advancing our enterprise data capabilities. If you are passionate about designing data solutions that connect business needs, architecture, and technology and enjoy turning high-level data designs into scalable, secure, production-ready solutions that make a real impact, we would love to hear from you.

Our commitment to reconciliation includes inclusive hiring practices that create meaningful opportunities for Indigenous peoples and support a workforce reflective of the communities we serve. Join us in building a culture where contributions are valued and shared success is shaped by our people. Application deadline is Sunday, September 13, 2026, at 11:59pm Saskatchewan time.

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