Cloud Data Architect

Compunnel, Inc.; Montreal; On-site; CAD 100,000 - 140,000; Full time

Job summary

A leading company is seeking an experienced Cloud Data Architect to spearhead the design and execution of scalable data architecture solutions on Snowflake Cloud. This pivotal role requires deep expertise in data modeling and governance, along with proficiency in cloud technologies. Responsibilities include creating data models, supporting analytical tools, and improving data quality standards. The ideal candidate will have a strong background in data warehousing and integration, ideally coupled with a Bachelor’s or Master’s degree in a related field.

Qualifications

• 7–10 years in Data Warehouse Architecture, Development, or Data Modeling.
• Proven experience with data warehousing, ELT processes, and data integration.
• Expert-level SQL skills and familiar with DBMS like Snowflake and Teradata.

Responsibilities

• Develop and implement comprehensive data architecture strategies for Snowflake Cloud.
• Design scalable data models for efficient data storage and analysis.
• Collaborate with teams to support analytics and AI initiatives.

Skills

Data modeling

Data governance

Cloud technologies

SQL

Big data technologies

Education

Bachelor’s or Master’s degree in Computer Science

Degree in Data Engineering or related field

Tools

Snowflake

ERwin

PowerDesigner

AWS

Azure

Google Cloud

Job description

We are seeking an experienced Cloud Data Architect to lead the design and implementation of scalable data architecture solutions on Snowflake Cloud. The ideal candidate will have deep expertise in data modeling, governance, and cloud technologies, and will collaborate across teams to deliver high-quality data products that support analytics and AI initiatives.

Key Responsibilities:

• Develop and implement comprehensive data architecture strategies for Snowflake Cloud

• Design scalable data models for efficient data procurement, storage, processing, and analysis

• Create logical and physical data models aligned with business consumption needs

• Support data mining, business intelligence, analytics, and AI tools through semantic modeling

• Establish and manage data definitions, standards, policies, and procedures

• Enhance data quality through frameworks for consistency, accuracy, and completeness

• Lead data cataloging efforts for improved data discovery and understanding

• Collaborate with data engineers, analysts, product owners, and stakeholders

• Facilitate cross-functional efforts to align data architecture with business goals

• Utilize advanced data modeling tools to optimize data architectures

• Stay current with data technology trends and methodologies

• Leverage business intelligence tools and ecosystems effectively

Required Experience:

• 7–10 years in Data Warehouse Architecture, Development, or Data Modeling

• Proven experience with data warehousing, ELT processes, and data integration

• Expert-level SQL skills and experience with DBMS (Snowflake, Teradata, PostgreSQL, Sybase, DB2)

• Proficiency in data modeling tools (ERwin, PowerDesigner, or equivalents)

• Experience with AI-enabled tools for data management and analytics

• Proficiency in big data technologies and cloud platforms (AWS, Azure, Google Cloud)

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

Preferred Skills

• Exceptional analytical and problem-solving abilities

• Strong communication skills for conveying complex data concepts

• Ability to thrive in a collaborative, agile environment