Data AI - Tech Lead

Data Tech Lead – AI & Data Engineering About The Role As a Data Tech Lead – AI & Data Engineering, you will make an impact by leading the architecture, design, and delivery of enterprise-scale Data and AI solutions that drive business transformation and innovation. You will be a valued member of the Data & AI practice and work collaboratively with business stakeholders, solution architects, data engineers, AI engineers, and cloud teams to deliver scalable, secure, and high-performing data platforms. In this role, you will combine deep technical expertise in data engineering, cloud technologies, and artificial intelligence to develop next-generation solutions that support advanced analytics, machine learning, and Generative AI initiatives. In This Role, You Will Lead end-to-end Data & AI solution architecture, design, development, and delivery across enterprise programs. Design and implement scalable Data Lakehouse, Data Warehouse, ETL/ELT, and analytics platforms leveraging modern cloud technologies. Develop and deploy Generative AI and AI-powered solutions that address complex business challenges and create measurable business value. Collaborate with business stakeholders to gather requirements and translate them into scalable, secure, and future-ready technical solutions. Drive cloud adoption, engineering best practices, governance, and solution standardization across Data & AI initiatives. Mentor Data Engineers and AI Engineers while conducting technical reviews and providing architectural guidance. Ensure solution scalability, security, reliability, performance, and compliance. Support solution architecture, effort estimation, proposal development, and client-facing technical discussions. Partner with cross-functional teams to implement modern software engineering and DevOps practices. Evaluate emerging technologies and recommend innovative approaches to advance organizational Data & AI capabilities. Work Model We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in Canada. Occasional travel may be required for client meetings, workshops, architecture reviews, or project-related activities. 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. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations. What You Need to Have to Be Considered 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. Hands-on experience with AWS cloud services and cloud-native architectures. Experience with Docker, Kubernetes, CI/CD pipelines, and GitHub-based development workflows. Strong understanding of solution architecture, API development, microservices architecture, and enterprise integration patterns. Experience designing and implementing scalable Data Lakehouse, Data Warehouse, and analytics solutions. Proven ability to lead technical teams and mentor engineers in complex enterprise environments. Strong communication, stakeholder management, presentation, and problem-solving skills. These Will Help You Stand Out Experience implementing Generative AI, Agentic AI, Machine Learning, or advanced analytics solutions. Hands-on experience with Databricks and PySpark. Experience developing Retrieval-Augmented Generation (RAG), AI copilots, and intelligent automation solutions. Knowledge of MLOps, DataOps, and modern AI engineering practices. Experience working with large-scale cloud migration, modernization, or digital transformation initiatives. Familiarity with AI frameworks, vector databases, and enterprise AI platforms. Experience supporting client-facing solutioning, pre-sales activities, and executive stakeholder engagement. Experience within industries such as Financial Services, Healthcare, Insurance, Retail, Manufacturing, or Logistics. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. Salary And Other Compensation Compensation will be determined based on experience, qualifications, skills, location, and other job-related factors, consistent with applicable employment laws and Cognizant compensation practices in Canada. This position may also be eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits Cognizant offers a comprehensive benefits package designed to support the health, wellbeing, and financial security of our associates and their families, including: Medical, dental, vision, and life insurance Retirement savings and investment programs, where applicable Employee Assistance Program (EAP) Paid vacation, holidays, and leave programs Learning and development opportunities, certifications, and career advancement programs Wellness and mental health resources Career growth and internal mobility opportunities Benefits may vary by province and employment status and are subject to change. Application Deadline Applications will be accepted until October 2, 2026. Cognizant reserves the right to close this posting earlier based on application volume, business needs, or hiring timelines.

Lead the architecture, design, and delivery of enterprise-scale Data and AI solutions, including Data Lakehouses and Generative AI initiatives. Collaborate with stakeholders to translate business requirements into scalable technical solutions while mentoring engineering teams.

Requires a Bachelor's degree and over 14 years of experience in Data Engineering, AI, or related disciplines. Must have strong expertise in Python, SQL, Snowflake, and AWS cloud services.

• Medical Insurance • Dental Insurance • Vision Insurance • Life Insurance • Retirement Savings And Investment Programs • Employee Assistance Program (EAP) • Paid Vacation • Holidays • Leave Programs • Learning And Development Opportunities • Certifications • Career Advancement Programs • Wellness And Mental Health Resources • Career Growth • Internal Mobility Opportunities

• KubernetesSouhaitée
• SQLSouhaitée
• GitHubSouhaitée
• CI/CDSouhaitée
• DockerSouhaitée
• Amazon Web ServicesSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• SQL
• Snowflake
• AWS
• Docker
• Kubernetes
• CI/CD
• GitHub
• Generative AI
• Databricks
• PySpark
• RAG
• MLOps
• DataOps
• Solution Architecture
• Data Engineering

• Data & Analytics
• Technology
• Software
• Consulting
• Management & Leadership

Formation minimale

Baccalauréat

Expérience minimale

14+ ans

Postuler avant le

4 oct. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Mississauga, Ontario, Canada

Niveau d’expérience

Mid-Senior level