Role Summary
We are seeking an experienced Data Engineer cum Data Architect to design, build, and modernize enterprise-scale data platforms leveraging Snowflake, Python, and AI/ML technologies. The role involves defining data architecture, developing scalable data pipelines, enabling advanced analytics, and supporting AI-driven business solutions on cloud-based ecosystems.
Key Responsibilities
• Design and implement enterprise data architecture for scalable, secure, and high-performance data platforms.
• Develop and optimize data pipelines, ETL/ELT frameworks, and data ingestion solutions using Python and cloud-native services.
• Architect and manage Snowflake data warehouse solutions, including data modeling, performance tuning, security, and cost optimization.
• Build and support data solutions for AI/ML use cases, including feature engineering, model data preparation, and MLOps integration.
• Design dimensional models, data marts, and data lake architectures to support reporting, analytics, and machine learning workloads.
• Collaborate with business stakeholders, data scientists, and engineering teams to translate business requirements into technical solutions.
• Establish data governance, metadata management, data quality, and security best practices.
• Drive cloud data modernization initiatives and recommend architecture improvements.
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Things to know before you apply
- Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
- Accommodations: If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
- AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
- Open position: Unless otherwise stated, this job posting is for an open position on our team.
- Language proficiency: We ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
- Inclusion: Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
