Data Architect --DWIDC5528874

Compunnel Inc.; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Compunnel Inc. seeks a highly experienced Data Architect to lead enterprise data architecture design, implementation, and optimization. You will collaborate with Data Engineers, Analysts and Application Architects to ensure structured, secure, and scalable data assets that deliver business value.

The role focuses on cloud-based data architectures across AWS/Azure/GCP, including data warehousing, data lakes, and real-time analytics, with a strong emphasis on governance and best practices.

Qualifications

• Experience designing enterprise-level data architectures.
• Strong understanding of modern data platforms and governance.
• Collaboration with business and technology teams.

Responsibilities

• Lead design, implementation and optimization of data architectures.
• Architect solutions across cloud platforms for data warehouses and lakes.
• Mentor data teams and drive data migration initiatives.

Skills

Data platforms

Data integration

Cloud technologies

Data governance

Tools

AWS Redshift

AWS Services

Job description

• We are seeking a highly experienced Data Architect to lead the design, implementation, and optimization of enterprise-level data architecture solutions.
• The ideal candidate will possess a strong understanding of modern data platforms, data integration, cloud technologies, and data governance.
• This role requires collaboration across business and technology teams to ensure data assets are structured and managed to deliver value, security, and scalability.
• Architect solutions across cloud platforms (AWS, Azure, or GCP) to support data warehousing, data lakes, and real-time analytics.
• Define and drive enterprise data architecture strategy, standards, and best practices.
• Work closely with Data Engineers, Business Analysts, and Application Architects to ensure alignment between data architecture and business needs.
• Lead data migration and modernization initiatives, including legacy system transformation.
• Evaluate and select appropriate data management tools and technologies.
• Conduct data architecture reviews and performance tuning.
• Provide technical leadership and mentorship to data teams.
• Data warehousing techniques and concepts

Skill set:

• AWS Redshift
• AWS Services
• ETL Process
• Data Modeling - Conceptual, Logical and Physical