Data Architect

Kaizen Technologies; Toronto; On-site; CAD 110,000 - 170,000; Full time

Job summary

Kaizen Technologies seeks a strategic Data Architect to define and implement enterprise data architecture that aligns with business objectives and supports digital transformation initiatives.

The role focuses on structuring, integrating, and optimizing data assets for analytics, reporting, and operational efficiency, collaborating with IT leadership and engineering teams to build scalable, secure data ecosystems.

Qualifications

• Bachelor’s degree in Computer Science, IT, or equivalent.
• Proven experience designing enterprise data architectures.
• Experience with cloud data platforms and governance.

Responsibilities

• Develop and maintain enterprise data architecture frameworks aligned with business goals.
• Design end-to-end data pipelines and integration strategies using cloud tech.
• Define data modeling standards, metadata management, and governance.
• Collaborate with analysts and engineers to translate requirements into designs.
• Ensure data quality, compliance, and performance optimization.
• Lead architecture reviews and guide data platform enhancements.
• Evaluate new technologies and advise on modernization strategies.

Skills

AWS Glue

PySpark

Data Modeling

Data Governance

SQL & NoSQL

Data Lake & Warehouse

ETL/ELT Automation

Education

Bachelor's degree in Computer Science, IT, or related field

Job description

We are seeking a strategic Data Architect to define and implement enterprise data architecture that aligns with business objectives and supports digital transformation initiatives.

This role is crucial in ensuring that data assets are structured, integrated, and optimized for analytics, reporting, and operational efficiency.

The Data Architect will collaborate with business stakeholders, IT leadership, and engineering teams to design scalable, secure, and high-performing data ecosystems that enable data-driven decision-making across the organization.

Responsibilities:

• Develop and maintain enterprise data architecture frameworks aligned with business goals.
• Design end-to-end data pipelines and integration strategies using modern cloud technologies.
• Define data modeling standards, metadata management, and governance principles.
• Collaborate with business analysts and data engineers to translate requirements into technical designs.
• Ensure data quality, consistency, and compliance with regulatory standards.
• Optimize data storage, retrieval, and transformation processes for performance and scalability.
• Lead architecture reviews and provide guidance on data platform enhancements.
• Evaluate emerging technologies and recommend adoption strategies for data modernization.

Mandatory Skills:

• AWS Glue – Expert
• PySpark – Expert
• Data Modeling (Conceptual, Logical, Physical) – Expert
• Data Governance & Metadata Management – Advanced
• SQL and NoSQL Databases – Advanced
• Data Lake & Warehouse Design (Redshift, Snowflake) – Advanced
• ETL/ELT Frameworks & Automation – Advanced

Preferred Skills:

• Good Communication
• Stakeholder Management
• Agile Methodology
• Documentation & Standards Problem Solving & Analytical Thinking
• Data Security & Compliance Awareness

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.