Our client is seeking a Data Modeler reporting into the Director, Information Architecture. Located in Toronto, Canada the role will focus on supporting the data strategy for the Investment Data Lake and building out it’s data assets.

What is in it for you:

• Salaried: $75-85 per hour.
• Incorporated Business Rate: $91-101 per hour.
• 6-month job assignment
• Full-time position: 37.50 hours per week.
• Weekday schedule from 9 am to 5 pm.
• Hybrid work: in-office Tuesday to Thursday.
• Opportunity to work in a dynamic and professional environment.
• Join a passionate and inclusive team of professionals.

Responsibilities:

• Understand and translate business needs into data models supporting long-term solutions.
• Closely interact with business partners, stakeholders, functional experts, business analysts, contractors, and developers to understand the system requirements and architect and design the data model and database schema based on the requirements.
• Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.
• Create logical and physical data models using standard methodologies to ensure high data quality and reduced redundancy.
• Optimize and update logical and physical data models to support new and existing projects.
• Maintain conceptual, logical and physical data models along with corresponding metadata.
• Develop standard methodologies for standard naming conventions and coding practices to ensure consistency of data models.
• Communicate effectively with no ambiguity during project execution on data model
• Understand and articulate interdependencies, constraints of the data model to Data Engineers, project teams and business teams
• Recommend opportunities for reuse of data models in new environments.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Evaluate data models and physical databases for variances and discrepancies.
• Understanding and experience in OLAP, reporting and analytics principles.
• Own the data definitions for all data tables and maintain data lineage
• Validate business data objects for accuracy and completeness.
• Analyze data-related system integration challenges and propose appropriate solutions.
• Develop data models according to company standards.
• Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces.

What you will need to succeed:

• Bachelor’s degree in computer science, information systems or related.
• Solid experience with business intelligence and data warehousing development technologies, RDBMS, Hadoop and Analytics Environments.
• Minimum 5 to 8 years of experience in IT with a minimum of 4+ years in Data Model design.
• Expertise with Big data technologies and data bricks as well as BI and data warehousing development technologies.
• Strong Data Analysis skills
• Strong Data Modeling skills. Take ownership and do data modelling work themselves and do hands on work.
• Experience with Azure Solutions and SQL
• Expertise with Power Designer/Erwin Data Modeling tool
• Familiarity with Capital Markets data
• Able to communicate clearly, both verbally and in written form
• Good work ethic, results oriented, and accuracy / attention to detail are critical

Why Recruit Action?
Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach to job seekers and businesses. Only candidates who match hiring criteria will be contacted.
Type d’emploi : Temps plein, Contrat à durée déterminée
La durée du contrat : 6 mois
Rémunération : 75,00$ à 85,00$ par heure
Heures prévues : 37.5 par semaine

Question(s) de présélection:

• this role is Hybrid – are you comfortable working onsite 3 days per week, 2 days remote?

Expérience:

• IT: 5 ans (Obligatoire)
• Data Model design: 4 ans (Obligatoire)
• Big data technologies & data bricks: 4 ans (Obligatoire)
• Azure Solutions and SQL: 3 ans (Obligatoire)
• Power Designer/Erwin Data Modeling tool: 3 ans (Obligatoire)
• Wealth management/capital markets industry: 2 ans (Souhaité)
• Hortonworks/Cloudera HADOOP platform: 2 ans (Souhaité)

Lieu du poste : Télétravail hybride à Toronto, ON M4W 1E6
Date de début prévue : 2025-09-0

• Understand and translate business needs into data models supporting long-term solutions.
• Closely interact with business partners, stakeholders, functional experts, business analysts, contractors, and developers to understand the system requirements and architect and design the data model and database schema based on the requirements.
• Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.
• Create logical and physical data models using standard methodologies to ensure high data quality and reduced redundancy.
• Optimize and update logical and physical data models to support new and existing projects.
• Maintain conceptual, logical and physical data models along with corresponding metadata.
• Develop standard methodologies for standard naming conventions and coding practices to ensure consistency of data models.
• Communicate effectively with no ambiguity during project execution on data model
• Understand and articulate interdependencies, constraints of the data model to Data Engineers, project teams and business teams
• Recommend opportunities for reuse of data models in new environments.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Evaluate data models and physical databases for variances and discrepancies.
• Understanding and experience in OLAP, reporting and analytics principles.
• Own the data definitions for all data tables and maintain data lineage
• Validate business data objects for accuracy and completeness.
• Analyze data-related system integration challenges and propose appropriate solutions.
• Develop data models according to company standards.
• Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces