At a Glance
- Tasks: Design and model data for innovative banking solutions in a hybrid work environment.
- Company: Join a leading financial services company with a strong focus on digital transformation.
- Benefits: Long-term opportunity with competitive salary and a supportive workplace culture.
- Other info: Collaborative team environment with opportunities for professional growth and development.
- Why this job: Make an impact in the banking sector while working with cutting-edge data technologies.
- Qualifications: 10+ years of experience in data modeling and strong SQL skills required.
The predicted salary is between 121500 - 148500 $ per year.
Iris's direct client, one of the leading Banking and Financial Companies, is looking to hire a Sr Data Modeler /Architect for a long-term opportunity at Toronto, ON (Hybrid Position).
Location: Toronto, ON (Hybrid Position)
Duration: Long Term Position / Open Ended SOW (12+ Months)
Required Skills:
- Overall 10+ years of experience with 5–6 years of strong 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.
Nice to have Skills:
- Experience working on enterprise DataOps or cloud-based data platform modernization initiatives.
- Exposure to AWS data services such as Amazon S3, AWS Glue, Amazon Redshift, and AWS Lake Formation.
- Familiarity with modern data architecture concepts such as Data Lakes, Lakehouse, Data Mesh, and reusable data products.
- Knowledge of data cataloging, metadata management, and data lineage tools.
- Experience in Banking and Financial Services (BFSI), including customer, account, transaction, payments, or regulatory data domains.
- Familiarity with CI/CD, version control, and automated data model deployment practices.
Sr Data Modeler / Architect Role in Toronto employer: Iris Software Inc.
Iris Software is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those passionate about AI testing solutions. Located in the vibrant city of Toronto, we offer our employees opportunities for professional growth through mentorship and hands-on experience with cutting-edge technologies. Join us to be part of a team that values quality, continuous improvement, and the development of your technical skills in a supportive environment.
