Data Modeler

Who We Are

PLATO is Canada’s largest Indigenous-owned software testing and technology services company. For nearly 30 years, our expert teams have helped our clients deliver reliable products that users enjoy interacting with.

Our 100% Canada‑based team brings deep experience in QA, software testing, and IT services, along with a shared commitment to collaboration, mentorship, and continuous improvement. We’re a team that shows up for each other, whether that’s tackling complex client challenges or helping colleagues grow through coaching and knowledge‑sharing.

As Canada’s largest Indigenous‑owned software testing company, we’re proud of our roots and our mission to build a stronger, more inclusive technology workforce. At the same time, we warmly welcome applicants of all backgrounds and experiences who are passionate about quality, teamwork, and making an impact.

Contract Duration: Oct 6th to Dec 31st 2026

Security Clearance: Reliability or higher is required at time of application

Summary

We are seeking a Data Modeler to support the development and maintenance of conceptual, logical, and physical data models that meet business and technical requirements. The successful candidate will collaborate with business stakeholders, analysts, architects, and engineering teams to define data structures, relationships, metadata, and data standards across enterprise platforms.

This role will perform data profiling, data quality assessments, and data lineage analysis while contributing to data governance, documentation, and data modeling best practices within Azure and Microsoft data ecosystems.

Responsibilities

• Design, develop, and maintain conceptual, logical, and physical data models aligned with business requirements, technical standards, and enterprise architecture objectives.

• Define and document data structures, relationships, metadata, business rules, and data standards to support consistent and scalable data management practices.

• Collaborate with business stakeholders, analysts, architects, and engineering teams to gather data requirements and translate them into effective and maintainable data model designs.

• Support data architecture and engineering teams in establishing enterprise data structures that enable reporting, analytics, integration, and operational business processes.

• Perform data profiling and data quality assessments to identify data issues, improve data consistency, and support trusted data assets.

• Conduct data lineage analysis to document data movement, transformations, and dependencies across enterprise platforms.

• Support data integration initiatives by ensuring data models align with source systems, data pipelines, and downstream analytics and reporting requirements.

• Contribute to data governance initiatives by maintaining metadata, data definitions, documentation, and modeling standards.

• Ensure data models and related artifacts support governance, compliance, security, and privacy requirements.

• Develop and maintain model documentation, diagrams, and data artifacts to promote consistent understanding and use of enterprise data.

• Contribute to the adoption of data modeling best practices across Azure and Microsoft-based data platforms.

Requirements

• 5+ years of experience designing and maintaining conceptual, logical, and physical data models within enterprise data environments.

• Proficiency with Microsoft Fabric to support enterprise data management, analytics, reporting, and modern data platform capabilities.

• Strong experience with SQL Server and Azure SQL for designing data structures, managing relational data models, and supporting enterprise reporting and analytics solutions.

• Experience using Power BI to understand reporting requirements, data relationships, and analytical data structures that support business intelligence initiatives.

• Hands-on experience with Azure Data Factory to support data integration, transformation, and movement of data across enterprise systems.

• Proficiency with enterprise data modeling tools such as Visio , ER/Studio , and erwin for creating, documenting, and maintaining data models and related artifacts.

• Experience defining data standards, metadata, business rules, and governance practices that support trusted and well-managed enterprise data assets.

• Knowledge of data profiling, data quality assessment, and data lineage practices used to improve data reliability, traceability, and consistency.

• Understanding of data integration, data warehousing, enterprise reporting, analytics, and data architecture principles.

• Strong collaboration skills with the ability to work effectively with both business and technical stakeholders.

• Excellent analytical, problem-solving, communication, and documentation skills.

• Knowledge of data governance, compliance, privacy, and security requirements related to enterprise data management.

Work With Us

At PLATO, we believe that great work happens when people feel supported, connected, and challenged in the right ways. You’ll be part of a collaborative environment where experienced professionals share knowledge, mentor others, and contribute to solving complex, real‑world client projects.

We are committed to inclusive hiring practices and encourage applications from individuals of all backgrounds, including women, persons with disabilities, visible minorities, and Indigenous peoples. If you require accommodation at any stage of the recruitment process, we’re here to support you.

PLATO respectfully acknowledges that we operate on treaty territories, unceded First Nations and Inuit territories, and within Métis homelands. We honour the long history of these lands and actively work toward reconciliation between Indigenous and non‑Indigenous peoples on Turtle Island.