Saskatchewan Ai architect Jobs – 5 Openings This Week

Data Architect
Brandt —Regina, SK
- Azure
- Computer Science
- SQL
Quick apply
GTM Engineer
7shifts —Saskatoon, SK
- $92,000–$130,000 a year
- Day shift
- Hybrid work
- SQL
- JavaScript
- APIs
- Dental care
Senior Software Engineer - Backend
Aircall —Madrid, SK
- Full-time
- Spanish
- DevOps
- English
ServiceNow AI Architect in Canada
KAnand Corporation —Canada
- $70–$80 an hour
- Contract
- Remote
- Azure
- APIs
- AI
Quick apply
19h
Commission Sales Representative - Engineering Services
Demand For HR —Canada
- Hybrid work
- CRM software
- Sales
- Engineering
Quick apply

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Solutions Architect
Toyota —Scarborough, ON
Involvement in the development of policies, standards and guidelines that direct the selection, development, implementation and use of Information Technology…
$105,700–$142,900 a year
API Architect
Moneris Solutions —Toronto, ON
Create and maintain end-to-end solution architecture for API and backend applications (enterprise focus) and/or lead design and code development and provide…
$126,000–$165,000 a year

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Data Architect

Brandt
Regina, SK

Quick apply

Job details

Skills

Power BI
Data modeling
Azure
Computer Science
Enterprise software
Encryption
SQL
Bachelor's
Machine learning
Python
T-SQL
Information Technology

Full job description

Brandt is seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have a strong background in designing, implementing, and optimizing data solutions using PowerBI, Azure, and AI technologies. As a Data Engineer, you will play a crucial role in developing and maintaining efficient data pipelines, ensuring data accuracy, and contributing to business intelligence initiatives.

Duties and Responsibilities

Data Architecture & Strategy

Data Solution Design: Lead the architectural design, data modeling, and implementation of highly scalable data processing systems within the Azure Data ecosystem.
Strategic Advisement: Partner with senior management and internal stakeholders to define data strategies, establish benchmarks, and translate complex business requirements into robust technical specifications.
Enterprise Capability Advancement: Drive the maturity of our enterprise data stack, defining best practices for data organization, governance, and architecture.

Data Engineering & Optimization

Advanced SQL & Performance Tuning: Act as the team's primary SQL authority. Proactively identify, troubleshoot, and optimize inefficient queries, fine-tune execution plans, and ensure optimal database performance.
ETL/ELT Pipeline Development: Architect and maintain robust, scalable data pipelines to extract, transform, and load data from disparate sources into Azure Data Factory and Azure Data Lake Storage.
Workflow Streamlining: Continuously monitor and optimize data workflows to reduce processing times, minimize compute costs, and improve overall system efficiency.

Business Intelligence & Security

Data Security & Governance: Implement strict data security measures, including encryption, robust access controls, and data masking to safeguard sensitive enterprise information.
PowerBI & Analytics Integration: Architect the data models that feed PowerBI, enabling the creation of interactive, high-performance dashboards that provide actionable insights to stakeholders.

#LI-ONSITE

Required Skills

Deep SQL Mastery: Expert-level proficiency in SQL (T-SQL preferred). Must have hands-on experience with query optimization, execution plan analysis, indexing strategies, complex joins, window functions, and CTEs.
Data Modeling: Strong background in relational and dimensional data modeling (Kimball/Inmon methodologies), data warehousing, and data dependencies across enterprise systems.
Azure Ecosystem: Deep expertise in Azure Data Factory, Azure SQL Database, and Azure Data Lake Storage.
Programming & BI: Highly proficient in Python and PowerBI (including DAX and Power Query optimization).
Emerging Tech: Familiarity with integrating machine learning models and AI tools into existing data workflows is a strong asset.

Required Experience

5–10 years of proven experience in Data Architecture, with a heavy emphasis on Microsoft Azure technologies.
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent enterprise experience).
Demonstrated ability to break down complex, ambiguous processes and explain highly technical concepts to non-technical senior leadership.

Quick apply

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ai architect jobs in saskatchewan

Data Architect

GTM Engineer

Senior Software Engineer - Backend

ServiceNow AI Architect in Canada

Commission Sales Representative - Engineering Services

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