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Added 23 mins ago
ERP Business Analyst
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Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
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OMERS

Senior Data Modeler

Toronto, ON, Canada
Head Office Toronto, Canada

Pay: This posting is for an existing vacancy.The expected salary range for this position is $86,000.00 - $130,000.00 per year.
Job type: Full-time
Posting language: English
Posted: Sep 28, 2026

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Original job description

Choose a workplace that empowers your impact.

Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be - and deliver - your best.

We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 665,000 members, placing their best interests at the heart of everything we do.

Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

Don’t just work anywhere - come build tomorrow together with us.

Know someone at OMERS or Oxford Properties? Great! If you're referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

Sr. Data Modeler

The OMERS Products and Technology team is seeking a self-motivated and highly experienced Senior Data Modeler to join the Pension Architecture team. The team is responsible for modernizing OMERS’ core pension administration system and related applications, while also providing architectural oversight for the organization’s analytics data platform and associated integrations.

This role reports into the Director, Architecture and is important because it will help shape the data architecture and technical foundation supporting critical business solutions. In this role, you will help design and maintain scalable, secure, and reliable data solutions for large, service-oriented applications. You will apply your expertise in data solution engineering, data modeling, and data architecture to ensure that solutions align with business needs, corporate standards, industry best practices, and security requirements.

You will create and maintain a range of technical designs and architectural artifacts, including data flows, logical and physical data models, application information models, data migration designs, deployment models, and related documentation. You will collaborate closely with business, engineering, DevOps, infrastructure, and security leaders throughout the development lifecycle to ensure solutions are fit for purpose and adhere to established technical and architectural standards.

This is an excellent opportunity for a hands-on professional who is passionate about technology, continuous learning, and delivering meaningful solutions. You will be a key contributor to an engaged, high-performing team that values collaboration, people development, and long-term growth. At OMERS, you will be part of a culture committed to innovation, building trusted relationships, anticipating stakeholder needs, and creating lasting value for our members and customers.

You will be responsible for:

Lead data modeling and architecture activities supporting OMERS’ legacy and modern pension administration systems, including systems with more than 2,000 tables and Employer and Member portal applications.
Define and maintain data architecture standards, frameworks, and principles covering data modeling, metadata, security, master data, reference data, naming conventions, data types, and data quality.
Design and maintain logical and physical data models for new initiatives and system enhancements, from initial requirements through executable DDL generation and implementation.
Design data flows, migration strategies, source-to-target mappings, and data transformations that preserve data integrity and support successful system implementations.
Provide expertise and guidance on data classification, data security, data masking, data encryption, metadata management, data governance, and data quality.
Act as a trusted data subject matter expert during requirements engineering, architecture reviews, working groups, and cross-functional project discussions.
Develop and publish data architecture diagrams, models, technical documentation, and related artifacts for review by business stakeholders, Security, Enterprise Architecture, Product, Development, and DevOps teams.
Establish and maintain data definitions for database objects and contribute to a shared Data Dictionary and broader metadata management practices.
Support multiple project teams by coordinating schema changes across development and testing environments and partnering with DevOps teams to plan and implement changes in production.

Required Skills & Experience

7 or more years of overall information technology experience, including at least 3 years of hands-on experience as a Data Architect, Data Modeler, or in a closely related role.
Demonstrated experience designing data solutions for complex enterprise applications, including relational databases and large-scale transactional or operational systems.
Strong experience developing logical and physical data models, database designs, data flows, data migration designs, and source-to-target mappings.
At least 3 years of experience using a data architecture or data modeling tool such as SAP PowerDesigner, ER/Studio, erwin Data Modeler, or a comparable platform.
At least 5 years of experience working with the Oracle database platform, preferably Oracle 19c or later, and related development and administration tools.
Strong hands-on data modeling experience with Oracle, PostgreSQL, Microsoft SQL Server, Azure SQL Database, or similar relational database platforms.
Proven experience with database development and design tools, such as Oracle SQL Developer, SQL Navigator, Quest Toad, or comparable tools.
Strong analytical experience with database programming languages, including Oracle PL/SQL, Microsoft T-SQL, PostgreSQL PL/pgSQL, or similar.
Strong understanding of data integrations, conversions, migrations, transformations, and data integrity controls.
Demonstrated knowledge of metadata management, data governance, data quality, data dictionaries, data classification, and related data management practices.
Excellent analytical, investigative, problem-solving, and quantitative skills, with a strong attention to detail and quality.
Ability to understand and translate complex business rules, processes, calculations, and system requirements into effective data solutions.

Preferred Skills & Experience

A university degree, preferably a master’s degree, in Computer Science, Information Systems, Engineering, or a related discipline.
Experience designing data solutions in the defined benefit pension industry, financial services, insurance, or another highly regulated environment.
Knowledge of Master Data Management, reference data management, data science, artificial intelligence, and machine learning concepts.
Experience supporting actuarial, benefits administration, financial calculation, or other systems involving complex mathematical formulas and business rules.
Experience with database schema deployment processes, DevOps practices, and promoting database changes across development, testing, and production environments.
Experience providing coaching, mentoring, or technical leadership to junior data professionals.

This posting is for an existing vacancy.The expected salary range for this position is $86,000.00 - $130,000.00 per year.

You may also be eligible to receive an annual Incentive Award pursuant to our Short-term Incentive plan and our Long-Term Incentive plan (if applicable), and to participate in our group benefits and retirement plans – details on these elements of compensation are included within OMERS & Oxford offer letters.

As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities where we live and work - and the members we proudly serve.

From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

Artificial intelligence (AI) tools are used to support certain stages of the OMERS recruitment process. While AI assists us in our process, human judgment and decision-making remain central to our candidate experience.

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More about this job

Responsibilities

The Senior Data Modeler will lead data modeling and architecture activities to modernize pension administration systems and define data standards. They will design logical and physical data models, manage data flows, and provide expertise on data governance and security.

Requirements

Candidates must have at least 7 years of IT experience, including 3 years in data architecture or modeling roles. Proficiency with Oracle databases and data modeling tools like SAP PowerDesigner or erwin is required.

Skills

Data modeling
Data architecture
Oracle
SQL
PL/SQL
Metadata management
Data governance
Data quality
Database design
Data migration
Source-to-target mapping
Enterprise applications
Data security
Technical documentation
DevOps
Pension administration

Benefits

Short-term incentive plan
Long-term incentive plan
Group benefits
Retirement plans

Visa sponsorship

Not detected in the job text

Keywords

Data Modeler
Data Architecture
Pension Plan
Oracle 19c
PostgreSQL
Microsoft SQL Server
Azure SQL Database
SAP PowerDesigner
ER/Studio
erwin Data Modeler
Oracle SQL Developer
Quest Toad
Data Governance
Metadata Management
Data Integrity
Data Masking
Data Encryption
Master Data Management
DevOps
Pension Administration
Financial Services
Logical Data Modeling
Physical Data Modeling
DDL
Service-oriented Architecture
Data Flows
Data Migration
Technical Design
Information Systems
Database Programming

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