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Data Architect/Modeler (PL551)

Toronto, Ontario, Canada

Job description

We are seeking an experienced Data Architect/Modeler with a minimum of 5 years of hands-on experience in software testing and quality assurance to join our client’s team. If you have a strong eye for detail, a passion for ensuring software quality, and a track record of delivering defect-free products, we want to hear from you.


Location: Toronto (Hybrid)
Duration: 12 months


• Provide technical and data leadership to the application development group, IT, and the enterprise.

• Work closely with key client and IT stakeholders in understanding business needs and recommend solutions.

• Collaborate with domain and enterprise architects for delivery in compliance to strategic enterprise direction

• Create and maintain data architecture, data management standards and conventions, data naming standards, and metadata standards to ensure effective availability, scalability, security, and integrity of data assets.

• Develop and maintain conceptual, logical and physical data models

• Contribute to analysis, solution design, development and implementation of operational and data warehouse projects.

• Setup the physical data model including all physical database configurations such as indexes, tablespaces, table partitions, table constraints, relationships, etc

• Understand RDBMS concepts especially in the area of database optimization

• Drive innovation by keeping current on relevant data trends via researching, presenting, and accurately articulating the benefits and goals of data architecture related technologies, such as Big Data, Hadoop, NoSQL, MongoDB

Job requirements

• Provide technical and data leadership to the application development group, IT, and the enterprise.

• Work closely with key client and IT stakeholders in understanding business needs and recommend solutions.

• Collaborate with domain and enterprise architects for delivery in compliance to strategic enterprise direction

• Create and maintain data architecture, data management standards and conventions, data naming standards, and metadata standards to ensure effective availability, scalability, security, and integrity of data assets.

• Develop and maintain conceptual, logical and physical data models

• Contribute to analysis, solution design, development and implementation of operational and data warehouse projects.

• Setup the physical data model including all physical database configurations such as indexes, tablespaces, table partitions, table constraints, relationships, etc

• Understand RDBMS concepts especially in the area of database optimization

• Drive innovation by keeping current on relevant data trends via researching, presenting, and accurately articulating the benefits and goals of data architecture related technologies, such as Big Data, Hadoop, NoSQL, MongoDB


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