Regina, Sk Data architect Jobs – 11 Openings This Week

Data Architect
Brandt —Regina, SK
- Azure
- Computer Science
- SQL
Quick apply
Specialist, Solutions Architecture
SaskEnergy —Regina, SK
- $92,716–$132,958 a year
- Full-time
- Azure
- Computer Science
- DevOps
Enterprise Architect
Brandt —Regina, SK
- Azure
- Computer Science
- Master's degree
Quick apply
Data Center Server Specialist
Viterra Inc. —Regina, SK
- Full-time
- Azure
- Computer Science
- Engineering
- Designated paid holidays
16h
Senior Full Stack Developers
Farm Credit Canada —Regina, SK
- $94,620–$128,020 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Solution Developer, Power Platform & D365
MNP —Regina, SK
- Azure
- Customer service
- DevOps
- Dental care
- Paid time off
Application Support - Salesforce Manager
Brandt —Regina, SK
- Computer Science
- Salesforce
- ERP systems
Quick apply
Electrical Engineer
Brandt —Regina, SK
- AutoCAD
- Schematics
- Travel
- Dental care
Quick apply
Senior Generative AI Engineer
MCI Careers —Canada
- Azure
- Computer Science
- Customer service
Senior AI / ML Engineer
MCI Careers —Canada
- Azure
- Computer Science
- Customer service

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NetSuite Service Delivery Consultant
Elim Solutions —Ontario
Acting as a trusted advisor to clients, the Consultant leads complex implementation initiatives, translates business requirements into practical system designs,…
$100,000–$120,000 a year
Quick apply
NextAxiom Solution Architect
E.J.GROUP —Oshawa, ON
Support UAT design and validation strategy. UAT strategy and system validation leadership. The Solution Architect will lead the end-to-end technical…
$140,000–$170,000 a year
Quick apply
17h

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data architect jobs near regina, sk

Data Architect

Brandt -
Regina, SK

Quick apply

Job details

Qualifications

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

Refine Your Search

data architect jobs in regina, sk

Data Architect

Specialist, Solutions Architecture

Enterprise Architect

Data Center Server Specialist

Senior Full Stack Developers

Solution Developer, Power Platform & D365

Application Support - Salesforce Manager

Electrical Engineer

Senior Generative AI Engineer

Senior AI / ML Engineer

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