Sr Data Modeler /Architect Role
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- Need over all 10+ years of experience and must have 5–6 years of strong experience in Data Modeling, Database Design, Data Warehousing, or Enterprise Data Platforms.
- Posting language
- English
- Posted
Original job description
Iris's direct client, one of the leading Banking and Financial Company, is looking to hire a Sr Data Modeler /Architect Role for a long term opportunity at Toronto, ON (Hybrid Position). Please respond back with your most recent resume if you would be interested..!
Position: Sr Data Modeler /Architect Role
Location: Toronto, ON (Hybrid Position)
Duration: Long Term Position /Open Ended SOW (12+ Months)
Required Skills:
- Need over all 10+ years of experience and must have 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.
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.
More about this job
Responsibilities
Design and maintain conceptual, logical, physical, relational, and dimensional data models for enterprise data platforms and data warehousing. Collaborate with architects, engineers, application teams, and business stakeholders on data integration, quality, governance, metadata, lineage, and repeatable DataOps processes.
Requirements
Requires 10+ years of overall experience, including 5–6 years in data modeling, database design, data warehousing, or enterprise data platforms. Candidates should have strong SQL and data modeling tool experience, familiarity with databases and cloud platforms, and knowledge of ETL/ELT, DataOps, governance, and Agile collaboration.
Skills
- Data Modeling
- Database Design
- Data Warehousing
- Enterprise Data Platforms
- Conceptual, Logical, Physical, Relational, And Dimensional Modeling
- ERwin
- ER/Studio
- PowerDesigner
- SQL
- DataOps
- ETL/ELT
- Data Integration
- Data Governance
- Data Quality
- Metadata Management
- Data Lineage
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
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
- ETL/ELT
- Data Integration
- Data Governance
- Master Data
- Reference Data
- Data Quality
- Metadata Management
- Data Lineage
- AWS Glue
- Amazon S3
- AWS Lake Formation