Inclusion without Exception Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

Tata Consultancy

Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.

It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence. Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents.

With the ability to rapidly apply and scale current technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.

Roles and Responsibility Required Skills:

- Enterprise Data Architecture and Data Modeling (Conceptual, Logical, Physical, Star/Snowflake Schemas)
- Azure and AWS Data Platforms (Databricks, Synapse, Redshift, Data Factory, S3, Glue)
- Data Warehousing, SQL Development, ETL/ELT, Data Governance, and Data Quality Management
- Databricks Unity Catalog, Azure DevOps, Git, and CI/CD implementation experience Power BI, IBM Cognos,



and Enterprise Analytics Reporting solutions
- Financial Services, Insurance, Healthcare, or Public Sector domain experience
- Bachelor’s degree in computer science, Information Systems, Engineering, or a related discipline. Azure, AWS, TOGAF, DAMA, PMP, or Data Management certifications are considered an asset.

Responsibilities

- Detailed : Seeking a Senior Data Architect / Data Modeler with extensive experience in enterprise data architecture, data modeling, data warehousing, cloud data platforms, and business intelligence solutions.
- The candidate will be responsible for designing conceptual, logical, and physical data models, defining data architecture standards, developing enterprise data warehouse solutions, implementing data governance frameworks, and supporting cloud-based data platforms on Azure and AWS.
- The role requires strong stakeholder management skills, expertise in ETL/ELT solutions, data integration, data quality, metadata management, and experience delivering large-scale data transformation and analytics initiatives.
- The successful candidate will work closely with business, technology, and analytics teams to deliver scalable, secure, and high-performance data solutions.

Salary Range - CA$ 100,000 - CA$ 120,000 Per Year TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.

Tata Consultancy Services Canada

Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources. Thank you for your interest in TCS.

Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

📌 Data Architect (Toronto)
🏢 TATA Consultancy Services
📍 Toronto