City : Toronto

Category : IT Infrastructure

Industry : Information Technology

Employer : Cognizant

As a Lead Cloud Data Engineer, you will make an impact by leading a high-performing team of data engineers and developers to design, build, and optimize innovative AWS cloud data solutions that drive measurable business outcomes. You will be at the forefront of transforming how data is leveraged across the organization, enabling scalable, secure, and cost-efficient platforms that support strategic decision-making, particularly within the banking and financial domain. You will be a valued member of our Cloud Infrastructure and Security team and work collaboratively with our Senior Manager.

In this role, you will

• Lead and mentor a team of data engineers and developers, fostering a collaborative and high-performance culture
• Provide technical guidance on design decisions, execution strategies, and architectural best practices
• Promote continuous learning and lead knowledge-sharing initiatives across engineering teams
• Architect and implement cloud-native data platforms using AWS services such as S3, Glue, Redshift, Lambda, EMR, and Amazon QuickSight
• Optimize AWS infrastructure for performance, scalability, security, and cost-efficiency
• Apply AWS Trusted Advisor to enhance compliance, fault tolerance, and operational excellence
• Establish and enforce cloud governance and security policies aligned with industry best practices
• Guide agile delivery through sprint planning, backlog prioritization, and squad-level execution
• Collaborate cross-functionally to integrate cloud solutions with enterprise systems and workflows
• Monitor and improve delivery metrics to ensure timely, high-quality releases
• Drive innovation by evaluating and adopting emerging AWS technologies and services
• Deliver tailored cloud solutions for finance and accounting use cases
• Design and deliver impactful data visualizations using Amazon QuickSight

• Troubleshoot complex data issues and implement strategic, scalable solutions

  Required skills: what you need to be considered

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 10+ years of experience in cloud architecture, data engineering, and DevOps practices
• Proven leadership in agile environments, with experience in sprint planning and team enablement
• Deep expertise in AWS cloud services, including Trusted Advisor and QuickSight
• Strong understanding of cloud governance, security, and compliance frameworks

• Excellent communication and stakeholder engagement skills

  Preferred skills: what will help you stand out

• Familiarity with data engineering tools such as Python, Spark, Glue, Redshift
• Experience in the banking or financial services domain
• AWS certifications (e.g., AWS Certified Data Analytics, Solutions Architect)
• Experience with CI/CD pipelines and infrastructure as code (e.g., Terraform, CloudFormation)
• Passion for continuous learning and staying current with cloud innovations

We're eager to meet people who share our mission and can make an impact in various ways. Don't hesitate to apply, even if you only meet the required skills listed. Your transferable skills and experiences matter—help us see how you the right person for this role.

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.

Working arrangements

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Toronto, ON. Regardless of your working arrangement, we are here to support a healthy work-life balance though 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.