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Data AI - Tech Lead

00070449061

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.

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.

Additional employment information
Compensation 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.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

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, state or local laws.

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.

 

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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My leaders are very supportive of my career. If I want to pursue an opportunity, I can just speak with them and they’ll help me reach my goals.
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Cognizant has one of the best learning ecosystems you can ask for. From sponsored certifications to training platforms to mentorship, we have all that we need to grow.
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