Data Modeler Jobs in Toronto, Ontario, Canada
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Toronto, Ontario, Canada
Data Modeler
About the role
Data Modeler, contract position Number of positions:1, 6months initially with possibility of extension Location: Toronto, ON, CA Must be eligible to work in Canada 3d/w onsite minimum, no exceptions
Roles and responsibilities: We are seeking a Senior Data Modeler to design, develop, and maintain robust data models for our enterprise data solutions. In this role, you will collaborate with cross-functional teams to build scalable data structures within a cloud environment, ensuring high performance, strong data governance, and alignment with business requirements. Key Responsibilities Data Modeling: Design and maintain conceptual, logical, and physical data models (including dimensional models, star/snowflake schemas, and 3NF). Cloud Architecture: Build and optimize scalable data structures specifically within the Snowflake Cloud Data Platform. Collaboration: Partner with business stakeholders, architects, and engineers to translate business needs into technical data solutions for core business domains (e.g., finance, operations). Data Pipeline Support: Work alongside Data Engineering teams to implement ETL/ELT pipelines and align with enterprise architecture standards. Governance & Performance: Maintain metadata, data lineage, and dictionaries while optimizing Snowflake performance (clustering, partitioning) and ensuring data security.
Must have skills/expeerience/qualifications Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. Experience: 7+ years in enterprise data modeling and data warehouse design, with at least 3 years of hands-on Snowflake experience. Core Technical Skills: Advanced SQL, query optimization, and expert-level knowledge of dimensional modeling and data warehouse architecture. Tools & Platforms: * Data Modeling Tools: ERwin, ER/Studio, PowerDesigner, or similar. ETL/ELT Frameworks: dbt, Azure Data Factory, Informatica, Matillion, or Talend. Cloud Ecosystems: Microsoft Azure or AWS. BI Familiarity: Power BI or Tableau. Methodology: Strong experience working within Agile/Scrum environments.
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Welcome to Randstad Digital Advisory, formerly known as Celerity. In 2017, Randstad acquired Celerity, and over the last two years, we've been forging a strong partnership with Randstad's technology operating company. In August, we proudly teamed up with them to launch Randstad Digital. We're thrilled to announce that we've made the decision to fully integrate, with Celerity becoming the Advisory Services arm of Randstad Digital. This exciting evolution brings us a global presence, a growing client base, and increased resources, as well as the opportunity to provide valuable advisory services to Randstad’s clients.
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