Data Solution Architect

Autism Services; Regina; Hybrid; CAD 109,000 - 145,000; Full time

Job summary

Autism Services in Regina offers a permanent, full-time role focusing on designing and implementing enterprise data solutions to support analytics, BI, and AI initiatives. The role combines hands-on data engineering with architecture responsibility, leveraging Azure Data Lake, Synapse, and Databricks within a hybrid work setup.

The ideal candidate holds a four-year degree in CS/Engineering or IT, with six years of data engineering and data architecture experience, and the ability to translate

Qualifications

• Design and implement enterprise data solutions for analytics, BI, and AI/ML.
• Expertise in modern data architectures including Lakehouse and Data Vault.
• Hands-on with Azure data services and cloud platforms.
• Strong analytical and communication skills.

Skills

Data Architecture

Azure Data Technologies

Data Modeling

Solution Architecture

Cloud Data Platforms

Analytical Thinking

Communication Skills

Education

Bachelor's degree in CS / related field

Tools

Azure Data Lake

Azure Synapse Analytics

Azure Data Factory

Databricks

Cosmos DB

Blob Storage

Job description

Out-of-scope

Permanent, Full-Time

Work Location: Regina, Head Office. This role is eligible for a hybrid work option in Regina. Remote work may be considered if you reside outside Regina but within Saskatchewan.

Pay Range: $109,052 - $145,411

Posting Close Date: September 13, 2026

What We're Looking For

• Experience designing and implementing enterprise data solutions that support analytics, reporting, AI/ML, and business intelligence initiatives.
• Strong 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.
• Strong analytical, problem-solving, and communication skills.
• 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.