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Technical Lead

00070110461



Job Summary

This hybrid role for a technical lead focuses on designing and implementing scalable data architecture solutions that enable advanced analytics and business intelligence. The role spans data visualization cloud data warehouse engineering data modeling DevOps practices and Python based development. The technical lead will drive robust data platforms that empower stakeholders to make informed decisions and create measurable value for clients and society.


Responsibilities

  • Design and guide end to end data architecture solutions that connect source systems to cloud data warehouse platforms and analytics tools to deliver reliable insights for business decision making.
  • Lead the creation of enterprise grade data models that support reporting self service analytics and advanced data products while ensuring consistency performance and scalability.
  • Develop and optimize Python based data pipelines that ingest transform and validate data from diverse sources to maintain high standards of data quality and timeliness.
  • Apply DevOps practices across analytics and data engineering workflows by automating build test and deployment processes for data services and visual analytics assets.
  • Implement and maintain cloud data warehouse structures including schemas tables views and access patterns to support efficient querying and downstream data visualization.
  • Create and refine interactive data visualization solutions using modern tools that translate complex datasets into clear narratives for business and operations teams.
  • Collaborate with product owners and domain experts to translate requirements into technical designs that balance performance cost and future extensibility of data platforms.
  • Establish and enforce coding standards data modeling conventions and data governance practices that improve reliability and reusability of analytics assets across projects.
  • Optimize query performance and storage strategies in cloud data warehouse environments to reduce processing time and resource usage while preserving analytical flexibility.
  • Mentor team members on data engineering Python programming and visualization best practices to raise overall delivery quality and encourage continuous improvement.
  • Coordinate with cloud and infrastructure teams to ensure secure resilient and compliant deployment of data pipelines and visualization solutions in the hybrid work model.
  • Monitor and troubleshoot production data workflows and reporting assets during day shift to maintain availability and accuracy for critical business processes without requiring travel.
  • Document architectures data flows and operational procedures in a clear and structured manner so that stakeholders can understand maintain and evolve the solutions over time.

    • Qualifications

  • Demonstrate strong proficiency in building interactive data visualization solutions using contemporary business intelligence tools and storytelling techniques for analytical audiences.
  • Bring extensive hands on experience with DevOps principles in data environments including version control automation testing and continuous delivery for analytics components.
  • Exhibit advanced Python programming skills for data processing automation and integration with cloud services and visualization platforms in production scenarios.
  • Show deep expertise with cloud data warehouse technologies and patterns such as star schemas and columnar storage tuned for analytical workloads and large scale reporting.
  • Display solid knowledge of data modeling concepts including dimensional modeling normalization practices and metadata management applied to complex enterprise datasets.
  • Provide proven experience as a data architect designing end to end data solutions that align with organizational strategy security expectations and regulatory requirements.
  • Possess eight to ten years of overall experience in data engineering and analytics environments with consistent responsibility for solution design and technical decision making.
  • Adapt effectively to hybrid work arrangements by using collaboration tools and structured communication to coordinate delivery activities across distributed teams.
  • Maintain strong problem solving and analytical skills with the ability to diagnose data issues and propose pragmatic solutions that protect business continuity.
  • Ally with business partners to understand data consumption patterns and refine modeling and visualization so that information becomes more actionable and socially impactful.

    • Certifications Required

    Preferred certifications include cloud data engineering or architecture credentials and Python or data visualization platform certifications.

    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.

    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 financial education, a pension plan with matching contributions, 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.

    CAN Brigitte
    Cognizant is great for those wanting to make the world a better place, as we create solutions with top technology partners to address complex problems for our clients.
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    I’m supported by motivational leaders who empower me to grow in my career through learning programs, industry conferences and internal job moves. I’m proud of the career progression I’m making here.
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    The moment I joined Cognizant, I felt like I belonged. I was heard and empowered to challenge ideas—and I still am to this day.
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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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