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Salary
$70k – $96k per year
Location
Remote (Canada)
Seniority
Architect · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Jul 23, 2026.

Overview
Company
Impact
Profile match
Optimize your fleet performance with Element's Canadian expertise. Reduce costs, improve visibility, and simplify fleet management with solutions built for Canada.

Get started on an exciting career at Element!

Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first, then business - delivering on our promise of a superior client experience. This takes hard work and innovation, and we need more like-minded people on our team.

About the Role

We’re looking for a collaborative and strategic Senior Data Architect to join our team as Senior Data Architect. In this role, you will be responsible for optimizing the value delivered by our Data Architecture team by turning data into information, information into insight, and insight into business decisions. You will conduct full data lifecycle activities including requirements analysis and design, develop analysis and reporting capabilities, and continuously monitoring performance and quality control plans to identify improvements. This position supports the transformation, development, and improvement of our data platform while ensuring compliance with Data Governance policies and operational stability.

What You’ll Do

  • Perform Data Architecture support for projects and enhancements, including crafting and executing data management, architecture, integration, and governance strategies.

  • Provide technical leadership for architecture, design, documentation, and maintenance of databases and related systems, including creating database storage structures, resolving database issues, and maintaining system security.

  • Support development and implementation of business applications that optimize statistical efficiency and data quality.

  • Identify, analyze, and interpret trends or patterns in complex data sets.

  • Monitor daily operations of data loads, identify data discrepancies and data quality issues, and ensure data consistency and integrity.

  • Participate in project and enhancement estimation exercises and project team meetings, providing input, task status, risk identification, mitigation strategies, and issue management.

  • Collaborate with business partners to transform business requirements into environment-specific ETL, reporting, and data validation designs, and prioritize business and information needs.

  • Design relational databases and physical data models to support enterprise applications, data acquisition, and security requirements.

  • Review database changes to ensure no performance or functionality impacts and ensure production stability.

Basic Qualifications

  • Bachelor’s degree in data architecture, information management or similar field.

  • At least five years of DBA/data development and data architecture experience (combined).

  • Proficient with PostgreSQL, Talend ETL, and Snowflake.

  • Strong ETL development knowledge including SSIS, ADF (Azure Data Factory), Boomi or equivalent, and data warehouse architecture techniques.

  • Proficient in the use of data modeling tools and producing and maintaining logical and physical designs.

  • Demonstrated ability to optimize, load, and process large datasets from different data sources and formats while ensuring data quality and accuracy.

Preferred Qualifications

  • PostgreSQL/Snowpro (for Snowflake) certifications preferred.

  • Experience working closely with business professionals and technical resources, acting as a bridge between the two groups and liaising with vendors.

  • Familiarity with fundamental Data Governance and security concepts and processes.

  • Experience in the Fleet Management business is preferred.

  • Strong communication skills with the ability to collect business requirements, develop and document data models, and present findings.

Location: Mississauga. Our Mississauga office will move to 1 Adelaide in Toronto in September 2026

The hiring base salary range for this position is $99,200 - $136,400 CAD annually. Actual compensation within this range will be dependent upon the individual’s knowledge, skills, experience, equity with other team members, and alignment with market data. Please note that the disclosed salary range is solely for candidates hired to perform work within this geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location.

What’s in it for You

  • A culture of innovation, empowerment, decision-making, and accountability
  • Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness (for qualified roles)
  • Additional benefits and amenities, including paid time-off programs (vacation, sick leave, and holidays) (for qualified roles)

Applicants will be required to undergo a background check only if and after a conditional offer of employment has been extended.

Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, genetic information, sex, gender identity, sexual orientation, age, marital status, family status, ancestry, national origin, citizenship, physical or mental disability, veteran status, military obligations or any other characteristic protected by federal, state and local laws. Disability-related accommodations during the application and interview process are available upon request. Should you require an accommodation with our hiring process please send an email to [email protected] or call (800) 665-9744. Element Fleet Management also uses AI-assisted tools to help screen and assess applications. These tools analyze information you provide (for example, your rēsumē and screening responses) to identify job-related skills, qualifications, and experience. AI outputs do not by themselves determine whether you advance or receive an offer - they assist recruiters and hiring managers. Final hiring decisions are made by people.

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