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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!
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!
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