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Iris Software Inc.

Data Modeler

Toronto, ON, Canada

Contract

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Job type: Contract
Apply by: Nov 20, 2026
Posted: Oct 21, 2026

Original job description

Greetings!

Iris’s leading financial client is looking for Data Modeler to join their team at Toronto, ON(Hybrid) location.

Job Title: Data Modeler

Location: Toronto, ON(Hybrid)

Duration: Long Term

Job Description:

Years of experience in Data Modeling, Database Design, Data Warehousing, or Enterprise Data Platforms.
Strong proficiency in conceptual, logical, physical, relational, and dimensional data modeling.
Hands-on experience with data modeling tools such as ERwin, ER/Studio, PowerDesigner, or equivalent.
Strong SQL skills for data analysis, profiling, validation, and query optimization.
Experience working with databases and cloud data platforms such as Oracle, SQL Server, PostgreSQL, Snowflake, Amazon Redshift, or equivalent.
Good understanding of DataOps principles, including automated data pipelines, data quality, metadata management, lineage, monitoring, and repeatable onboarding processes.
Experience with ETL/ELT processes, source-to-target mappings, data integration, and data warehousing architectures.
Understanding of data governance, master/reference data, data security, and regulatory compliance considerations.
Experience collaborating with Solution Architects, Data Engineers, application teams, and business stakeholders in Agile delivery environments.
Strong analytical, problem-solving, documentation, and communication skills.

About Iris Software Inc.

With 4,000+ associates and offices in India, U.S.A. and Canada, Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly-skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.

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More about this job

Responsibilities

Design and support conceptual, logical, physical, relational, and dimensional data models for databases, data warehouses, and enterprise data platforms. Collaborate with architects, engineers, application teams, and business stakeholders on data integration, quality, governance, and DataOps processes.

Requirements

The role requires experience in data modeling, database design, data warehousing, or enterprise data platforms, along with proficiency in SQL and data modeling tools such as ERwin, ER/Studio, or PowerDesigner. Candidates should understand cloud and relational databases, ETL/ELT, DataOps, governance, security, and regulatory compliance, and have strong analytical, documentation, and communication skills.

Skills

Data Modeling
Database Design
Data Warehousing
Conceptual Data Modeling
Logical Data Modeling
Physical Data Modeling
Relational Data Modeling
Dimensional Data Modeling
SQL
Data Profiling
Query Optimization
DataOps
ETL/ELT
Data Integration
Data Governance
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

Data Modeling
Database Design
Data Warehousing
Enterprise Data Platforms
Conceptual Data Modeling
Logical Data Modeling
Physical Data Modeling
Relational Data Modeling
Dimensional Data Modeling
ERwin
ER/Studio
PowerDesigner
SQL
Oracle
SQL Server
PostgreSQL
Snowflake
Amazon Redshift
DataOps
Automated Data Pipelines
Data Quality
Metadata Management
Data Lineage
ETL/ELT
Source-to-Target Mapping
Data Integration
Data Governance
Master Data
Reference Data
Agile

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