About The Role As a Senior Data Engineer – Snowflake & GenAI, you will make an impact by designing and delivering modern, cloud-based data solutions that enable advanced analytics and AI-driven innovation. You will be a valued member of the data engineering team, working closely with clients, architects, and cross-functional stakeholders to build scalable data platforms and lead large-scale migration initiatives.

In This

Role, You Will Design and develop scalable data solutions using Snowflake, leveraging advanced capabilities such as Streams, Tasks, Snowpipe, and Dynamic Tables

Lead and execute ETL migrations from Informatica (PowerCenter/IICS) to Snowflake, ensuring data accuracy and productive transformation

Optimize data pipelines for performance, scalability, and cost efficiency in cloud environments

Integrate Cortex AI and GenAI capabilities into data engineering workflows to enable automation and advanced insights

Collaborate with stakeholders to drive solution design, architecture reviews, and delivery execution across distributed teams Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2–3 days per week in a client or Cognizant office in Toronto, ON. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting and may change based on the project you’re engaged in, as well as business and client requirements.

What You Need To Have To

Be Considered Strong hands-on experience in Snowflake architecture and advanced SQL development

Expertise in Snowflake native features (Streams, Tasks, Snowpipe, Dynamic Tables)



and performance/cost optimization

Proven experience with Informatica PowerCenter and/or IICS and large-scale ETL migration to Snowflake

Strong programming skills in SQL (mandatory) and Python

Experience working in client-facing roles with the ability to lead delivery and collaborate across onsite-offshore teams These Will Help You Stand Out Experience with Snowflake Cortex AI / GenAI capabilities and AI-driven accelerators

Familiarity with orchestration tools (Airflow, Azure Data Factory, etc.) and CI/CD pipelines

Strong understanding of modern data architectures and ELT frameworks

Experience in onsite-offshore delivery models and stakeholder engagement

Ability to drive innovation and continuous improvement in data engineering practices We’re excited to meet people who share our mission and can make an impact in a variety of ways. Even if you don’t meet every requirement, we encourage you to apply and bring your unique experience and perspective to the role.

Salary And Other Compensation Applications will be accepted until July 13, 2026. The annual salary for this position is between CAD 68,000 - CAD 150,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

Long-term/Short-term Disability

Paid Parental Leave Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

📌 Senior Data Engineer – Snowflake & GenAI (Toronto)
🏢 Cognizant
📍 Toronto