2 days ago
Mississauga, CanadaStaff+
Responsibilities
- Lead end-to-end Data and AI solution architecture, design, development, and delivery across enterprise programs.
- Design and implement scalable data lakehouse, data warehouse, ETL/ELT, analytics, and AI platforms.
- Develop and deploy Generative AI and AI-powered solutions, including RAG and AI copilot initiatives.
- Collaborate with stakeholders and technical teams to translate requirements into secure, scalable solutions.
- Drive cloud adoption, governance, engineering best practices, and solution standardization.
- Mentor Data Engineers and AI Engineers, conduct technical reviews, and provide architectural guidance.
- Ensure solutions meet scalability, security, reliability, performance, and compliance requirements.
- Support effort estimation, proposal development, client-facing technical discussions, and pre-sales activities.
- Evaluate emerging technologies and recommend approaches to advance Data and AI capabilities.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field, or equivalent professional experience.
- 14+ years of experience in Data Engineering, Data Architecture, Analytics, AI, or related technology disciplines.
- Strong expertise in Python, SQL, and Snowflake.
- Experience designing and implementing enterprise-scale AI and Data platforms using AWS cloud services and cloud-native architectures.
- Experience with Docker, Kubernetes, GitHub-based development workflows, solution architecture, API development, microservices architecture, and enterprise integration patterns.
- Experience designing scalable data lakehouse, data warehouse, and analytics solutions.
- Proven ability to lead technical teams and mentor engineers in complex enterprise environments.
- Preferred experience includes Generative AI, Agentic AI, Machine Learning, advanced analytics, Databricks, PySpark, RAG, AI copilots, MLOps, DataOps, cloud migration, vector databases, and enterprise AI platforms.
- Strong communication, stakeholder management, presentation, problem-solving, client-facing solutioning, and executive engagement skills.
Benefits
- Remote position open to qualified applicants in Canada, with occasional travel for client meetings, workshops, architecture reviews, or project activities.
- Medical, dental, vision, and life insurance.
- Retirement savings and investment programs where applicable.
- Employee Assistance Program, paid vacation, holidays, and leave programs.
- Learning and development, certifications, career advancement, wellness, and mental health resources.
- Career growth and internal mobility opportunities; benefits may vary by province and employment status.
Tech Stack
Categories
Data EngineeringML Engineering
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value. We build full-stack AI solutions powered by deep industry, process and engineering expertise — embedding an organization's unique context into technology systems that amplify human potential and drive tangible outcomes. From strategy to deployment, we help global enterprises move from AI ambition to AI impact and stay ahead in a fast-changing world. See how at cognizant.ai | Follow us @cognizant