Back to results

Data Architect

  • Regina, SK, Canada

Full-time

Apply on recruiting.ultipro.ca About employer

Applications open in a new tab.

Job details

Job type
Full-time
Experience
5–10 years of proven experience in Data Architecture, with a heavy emphasis on Microsoft Azure technologies.
Posting language
English
Posted

Original 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.

Who We Are

Brandt is a customer driven company, privately owned and family run, strengthened by diversification and succeeding through specialization. We operate over 170 locations across Canada, the USA, Australia, and New Zealand.

For nine decades, the people of Brandt have stood shoulder-to-shoulder with the hardworking people that we serve. And really, there’s no place we’d rather be because just like them, it’s when we’re working hard and getting things done that we’re at our best.

Our success is driven by a passionate belief in the unlimited potential of our company and the ultimate success of our customers and we act on that belief every single day.

That’s Powerful Value, Delivered.

What You Will Be Responsible For

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.

What We Look For

  • 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.
  • 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.

What We Offer

  •  Competitive compensation: we offer fair, market-based wages that recognize your skills, experience, and contributions.
  • Continuous Learning: through on-the-job training and educational opportunities.
  • Opportunities for advancement within a growing company that values initiative and teamwork.
  • Comprehensive benefits coverage: including health, dental and more to support your wellbeing.
  • Retirement savings programs: Pension and RRSP programs to help you invest in your future

    When you work for Brandt, we work for you.  It’s as simple as that. 

    More about this job

    Responsibilities

    The Data Architect at Brandt will design and build data systems on Azure, tune database queries and pipelines for speed and cost, and set rules for data security and governance. The role also shapes the data models behind PowerBI dashboards and explains technical choices to senior leaders.

    Requirements

    Candidates need 5 to 10 years of data architecture experience, with a strong focus on Microsoft Azure. Expert SQL skills, dimensional data modeling, and proficiency in Python and PowerBI are required, and a bachelor's degree in a related field or equivalent experience is expected.

    Skills

    • Microsoft Azure
    • Azure Data Factory
    • Azure SQL Database
    • Azure Data Lake Storage
    • T-SQL
    • SQL
    • Query optimization
    • Execution plan analysis
    • Indexing strategies
    • Window functions
    • CTEs
    • Python
    • PowerBI
    • DAX
    • Power Query
    • Data modeling
    • Kimball methodology
    • Inmon methodology
    • Data warehousing
    • ETL/ELT pipeline development
    • Data security
    • Data masking
    • Encryption
    • Access control
    • Data governance

    Benefits

    • Comprehensive health and dental benefits
    • Pension and RRSP programs
    • Continuous learning
    • Advancement opportunities

    Categories

    • Technology
    • Software
    • Data & Analytics
    • Retail
    • Manufacturing

    Keywords

    • Data Architect
    • Data Engineer
    • Azure
    • Azure Data Factory
    • Azure SQL Database
    • Azure Data Lake Storage
    • PowerBI
    • DAX
    • Power Query
    • SQL
    • T-SQL
    • Python
    • ETL
    • ELT
    • data pipelines
    • data warehousing
    • dimensional modeling
    • Kimball
    • Inmon
    • data governance

    Seniority

    Senior

    Perks

    • Retirement plan
    • Paid training

    Tools

    • Azure Data Factory
    • Azure SQL Database
    • Azure Data Lake Storage
    • PowerBI
    • Python
    • T-SQL

    Languages

    • English

    Fields of study

    • Computer Science
    • Information Technology

    Report this job

    Get in touch
    MovoJobs

    Contact us