Senior Data Modeler

Recrute Action; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A recruitment agency is seeking a Senior Data Modeler located in Toronto, Canada. The role focuses on supporting the data strategy for the Investment Data Lake and involves creating high-quality data models. Candidates must have experience in data warehousing, strong analytical skills, and 5+ years in IT, with a preference for familiarity with Capital Markets data. This is a hybrid full-time position with competitive hourly rates.

Qualifications

• 5+ years of experience in IT with at least 4 years in Data Model design.
• Experience with Capital Markets data is preferred.
• Excellent communication skills, both verbal and written.

Responsibilities

• Translate business needs into data models supporting long-term solutions.
• Create logical and physical data models using standard methodologies.
• Communicate data model interdependencies and constraints effectively.

Skills

Data Modelling

Azure Databricks

Data Analysis

SQL

Business Intelligence

Education

Bachelor’s degree in computer science or related

Tools

PowerDesign

Erwin

RDBMS

Hadoop

Job description

Senior Data Modeler

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 : 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

• Ability to articulate the data modelling experience
• Must be able to explain the models they’ve built, including specific tables and design decisions from their most recent project.
• 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.
• Data Modelling and hands-on experience with PowerDesign or Erwin
• Ability to design and explain detailed data models.
• Data Warehousing in a Data Lake Environment Experience working with large-scale data storage and processing.
• Azure Databricks
• Solid experience with business intelligence and data warehousing development technologies, RDBMS, Hadoop and Analytics Environments.
• Minimum 5 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
• Experience with Azure Solutions and SQL
• 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