job details
summary
- etobicoke, ontario
- $98,460 - $135,383 per year
- permanent
- job categoryinformation technology
job details
We are seeking a visionary Data Architect for a permanent leadership role based in Etobicoke. This position is central to designing and maintaining the enterprise data architecture that powers our analytics, artificial intelligence, and business intelligence ecosystems. You will bridge the gap between business strategy and technical execution, ensuring our data systems are scalable, secure, and optimized for the future of AI-driven decision-making.
...
Type: Permanent / Full-Time
Location: Etobicoke, Ontario
Salary Range: $98,460 – $135,383 (commensurate with experience)
Advantages
Strategic Impact: Influence the foundational data strategy of a major organization.
AI-First Mindset: Work on an architecture specifically designed to support modern Artificial Intelligence and Data Science workflows.
Stability: Enjoy the security of a permanent role with a competitive salary and comprehensive benefits.
Growth: Contribute to setting the standards for data governance and modelling that will be used across the entire enterprise.
Responsibilities
Enterprise Architecture: Design and maintain conceptual, logical, and physical data models that align with business requirements and support long-term scalability.
Optimization: Develop and refine data storage solutions in collaboration with infrastructure teams to maximize performance while minimizing operational costs.
Stakeholder Collaboration: Partner with both technical and business units to document data requirements, ensuring the architecture supports both operational and strategic organizational goals.
Data Governance: Support and contribute to enterprise frameworks for data security, classification, privacy, and compliance.
Innovation: Evaluate emerging technologies and recommend continuous improvements to data systems to keep the organization at the forefront of the industry.
Technical Guidance: Provide leadership and set standards for Data Engineers, BI Analysts, and AI Data Scientists to ensure consistency across all data practices.
Lineage & Documentation: Document complex data pipelines, maintain data catalogues, and establish clear data lineage for analytics and reporting.
Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related quantitative field.
Experience: Minimum 5 years of experience specifically designing data architecture, with 10+ years of total experience in enterprise data architecture, modelling, or engineering.
Tech Stack: Proficiency with tools such as Python, Microsoft Azure, Fivetran, DBT, Knime, and Dataiku.
Certification: Possessing or working toward a Certified Data Management Professional (CDMP) designation is highly preferred.
System Design: Strong ability to architect scalable data systems that meet both business and high-level technical requirements.
Communication: Excellent ability to translate complex technical data concepts for non-technical audiences and senior leadership.
Autonomy: Ability to work independently and make high-impact decisions regarding enterprise data strategy.
Summary
If you are a strategic thinker with a deep technical background in data architecture and a passion for AI-ready systems, we encourage you to apply today!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
We are seeking a visionary Data Architect for a permanent leadership role based in Etobicoke. This position is central to designing and maintaining the enterprise data architecture that powers our analytics, artificial intelligence, and business intelligence ecosystems. You will bridge the gap between business strategy and technical execution, ensuring our data systems are scalable, secure, and optimized for the future of AI-driven decision-making.
Type: Permanent / Full-Time
Location: Etobicoke, Ontario
Salary Range: $98,460 – $135,383 (commensurate with experience)
Advantages
Strategic Impact: Influence the foundational data strategy of a major organization.
AI-First Mindset: Work on an architecture specifically designed to support modern Artificial Intelligence and Data Science workflows.
Stability: Enjoy the security of a permanent role with a competitive salary and comprehensive benefits.
Growth: Contribute to setting the standards for data governance and modelling that will be used across the entire enterprise.
Responsibilities
Enterprise Architecture: Design and maintain conceptual, logical, and physical data models that align with business requirements and support long-term scalability. ...
Type: Permanent / Full-Time
Location: Etobicoke, Ontario
Salary Range: $98,460 – $135,383 (commensurate with experience)
Advantages
Strategic Impact: Influence the foundational data strategy of a major organization.
AI-First Mindset: Work on an architecture specifically designed to support modern Artificial Intelligence and Data Science workflows.
Stability: Enjoy the security of a permanent role with a competitive salary and comprehensive benefits.
Growth: Contribute to setting the standards for data governance and modelling that will be used across the entire enterprise.
Responsibilities
Enterprise Architecture: Design and maintain conceptual, logical, and physical data models that align with business requirements and support long-term scalability. ...
Optimization: Develop and refine data storage solutions in collaboration with infrastructure teams to maximize performance while minimizing operational costs.
Stakeholder Collaboration: Partner with both technical and business units to document data requirements, ensuring the architecture supports both operational and strategic organizational goals.
Data Governance: Support and contribute to enterprise frameworks for data security, classification, privacy, and compliance.
Innovation: Evaluate emerging technologies and recommend continuous improvements to data systems to keep the organization at the forefront of the industry.
Technical Guidance: Provide leadership and set standards for Data Engineers, BI Analysts, and AI Data Scientists to ensure consistency across all data practices.
Lineage & Documentation: Document complex data pipelines, maintain data catalogues, and establish clear data lineage for analytics and reporting.
Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related quantitative field.
Experience: Minimum 5 years of experience specifically designing data architecture, with 10+ years of total experience in enterprise data architecture, modelling, or engineering.
Tech Stack: Proficiency with tools such as Python, Microsoft Azure, Fivetran, DBT, Knime, and Dataiku.
Certification: Possessing or working toward a Certified Data Management Professional (CDMP) designation is highly preferred.
System Design: Strong ability to architect scalable data systems that meet both business and high-level technical requirements.
Communication: Excellent ability to translate complex technical data concepts for non-technical audiences and senior leadership.
Autonomy: Ability to work independently and make high-impact decisions regarding enterprise data strategy.
Summary
If you are a strategic thinker with a deep technical background in data architecture and a passion for AI-ready systems, we encourage you to apply today!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
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