About the role:
As an Azure Data Engineer, you will make an impact by designing and implementing scalable data architecture solutions that power analytics, ML Ops, and enterprise data workflows within the Cards & Payments domain. You will be a valued member of our technology team and collaborate closely with cross‑functional partners, engineering groups, and business stakeholders to deliver secure, high‑performance data solutions.
In this role, you will:
Design and implement scalable data solutions using Azure Databricks to optimize data processing and analytics workflows.
Integrate and orchestrate data movement using Azure Data Factory to support seamless data transformation pipelines.
Develop and maintain ML Ops pipelines to ensure efficient deployment, monitoring, and continuous improvement of machine learning models.
Translate business requirements into technical specifications that guide data architecture and solution design.
Provide technical leadership and guidance to development and engineering teams to ensure successful project delivery.
Evaluate emerging technologies and recommend tools that enhance data architecture capabilities.
Ensure strong data security and compliance with relevant industry regulations.
Optimize data storage, retrieval, and processing for improved system performance and reliability.
Conduct regular assessments of data architecture to identify improvement opportunities.
Collaborate with stakeholders to understand their data needs and deliver tailored, effective solutions.
Monitor, troubleshoot, and resolve data architecture issues to support stable operations.
Document architecture designs, standards, and best practices for future reference and training purposes.
Contribute to strategic organizational goals by developing innovative data solutions that enable business growth.
Work model:
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 4 days per week in the office in Toronto, Ontario. Regardless of your working arrangement, we are here to support a healthy work‑life balance through our wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on project, business, or client requirements.
What you need to have to be considered:
10+ years of experience in data architecture roles.
Strong hands‑on experience with Azure Databricks and Azure Data Factory.
Proven expertise designing and implementing data architecture solutions in the Cards & Payments domain.
Solid understanding of data security and compliance requirements.
Ability to optimize data workflows for reliable, high‑performance systems.
Strong problem‑solving skills with the ability to troubleshoot complex data issues.
Excellent communication skills to collaborate effectively with cross‑functional teams.
Bachelor’s degree in Computer Science, Information Technology, or related field.
Comfortable working in a hybrid model and availability for day shifts.
Proactive learning mindset with the ability to adopt new technologies quickly.
Proven ability to deliver high‑quality solutions aligned with business objectives.
These will help you stand out:
Prior experience in the Cards & Payments domain.
Experience with ML Ops frameworks and automation.
Demonstrated ability to drive architectural improvements and influence technology decisions.
Thought leadership or contributions to data engineering best practices.
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:
Applications will be accepted until March 15, 2026.
The annual salary for this position is between $ 100,000 - $ 125,000 CAD depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits 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.
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
- Cognizant is a global community with more than 300,000 associates around the world.
- We don’t just dream of a better way – we make it happen.
- We take care of our people, clients, company, communities and climate by doing what’s right.
- We foster an innovative environment where you can build the career path that’s right for you.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
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.
Disclaimer:
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.