
Open since Jun 2026
Data Architect / Data Modeler
AI Summary
Designs and implements data architecture and models for projects, working with NoSQL, relational databases, data warehouses, and ETL while collaborating with architects, developers, and business stakeholders.
About this role
System Canada resources have a broad range of skills in different technologies. The large skill-set has been made possible by a conscious focus on strengthening our skills base. Every person selected for our team brings something new, something that adds to our offerings. We learn continuously, both on the job and through formal training programs.
Visit us at: http://www.SystemCanada.com
Data architect / modeler:
Hands on experience with technologies such as NoSQL DB, distributed non structured databases, big data, caching, NoSql, relational database, data warehouse and ETL.
Must be capable of implement the data architecture on a project level, and have communication skills necessary to successfully interact with solution architects, product owners, developers, business analysts and testers.
Experience in reference data, financial services.
Ability to perform analysis on data-sets to determine their quality, coverage, complexity
Communicate business concepts and expected functional behavior
Communicate with downstream data consumers and upstream data providers (IT, Business and Operations) to determine objectives including requirements, issue resolution, solutions
At least 10 years progressive experience in Data Architecture disciplines, i.e., data modeling, architecture and integration
Skills
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- Market overviewState of tech hiring, September 2026: up 4.8%Tech hiring rose 4.8% month over month in September 2026, with 411,122 new listings. Customer support and account executive roles led the growth.