Data Modeler

Our client is seeking a Data Modeler to join their team. As a Data Modeler, you will be part of the Data & Analytics organization supporting analytics, reporting, and operational use cases. The ideal candidate will have strong technical ownership of data modeling, the ability to translate business requirements into scalable designs, and a collaborative mindset to work effectively with data architects, engineers, and stakeholders.

Role: Data Modeler

Location: 100% remote within Canada

Contract Duration: 1 year

What's the Job?

• Design and develop logical, conceptual, and physical data models that support analytics, reporting, and operational use cases.
• Apply a wide range of data modeling techniques, including dimensional modeling, Data Vault 1.0 and 2.0, and medallion architecture (bronze, silver, gold layers).
• Collaborate with data architects, data engineers, and business stakeholders to gather requirements and translate them into scalable data models.
• Create and maintain model documentation, data dictionaries, entity-relationship diagrams, and mapping specifications.
• Optimize data models for performance, maintainability, and scalability within Snowflake, and validate existing models to drive improvements as business needs evolve.

What's Needed?

• Strong experience in dimensional modeling, including star schemas, snowflake schemas, and fact/dimension design.
• Hands-on experience designing Data Vault models, including hubs, links, satellites, and Data Vault 2.0 best practices.
• Solid understanding of medallion architecture and how to apply it in modern cloud data platforms.
• Experience modeling for Snowflake, including micro-partitions, clustering keys, and handling variant and semi-structured data.
• Strong SQL skills and the ability to translate business requirements into future-focused data design.

What's in it for me?

• Opportunity to work on a 100% remote engagement for a client focused on analytics and data platform evolution.
• Chance to apply advanced modeling approaches across dimensional modeling, Data Vault, and medallion architecture.
• Collaborate with cross-functional teams to turn requirements into scalable, well-documented data assets.
• Contribute to model performance, maintainability, and scalability within Snowflake-based pipelines.
• Drive continuous improvements by reviewing and validating existing models as needs change.

If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.