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Azure Data Engineer (with Databricks, Pyspark)

Matterway

Matterway

Software Engineering, Data Science
Canada · Ontario, Canada · Toronto, ON, Canada · Red Street, Newcastle ST5 7AH, UK · Remote
Posted on Mar 20, 2026

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Overview:

Join our dynamic team as an Architect where youll leverage your expertise in Azure Databricks Azure Data Factory and drive innovative solutions in the Cards & Payments domain. With a hybrid work model and day shifts you'll have the flexibility to balance work and life while contributing to impactful projects that enhance our company's offerings and societal impact.



Key Responsibilities

  • Design and implement scalable data solutions using Azure Databricks to optimize data processing and analytics workflows

  • Collaborate with cross-functional teams to integrate Azure Data Factory for seamless data movement and transformation

  • Develop and maintain ML Ops pipelines to ensure efficient deployment and monitoring of machine learning models

  • Analyze business requirements and translate them into technical specifications for data architecture solutions

  • Provide technical guidance and support to team members to ensure successful project delivery

  • Evaluate and recommend new technologies and tools to enhance data architecture capabilities

  • Ensure data security and compliance with industry standards and regulations

  • Optimize data storage and retrieval processes to improve system performance and reliability

  • Conduct regular assessments of data architecture to identify areas for improvement and implement necessary changes

  • Collaborate with stakeholders to understand their data needs and provide tailored solutions

  • Monitor and troubleshoot data architecture issues to ensure smooth operations

  • Document data architecture designs and processes for future reference and training purposes

  • Contribute to the companys strategic goals by delivering innovative data solutions that drive business growth.

Qualifications
  • Possess a strong background in Azure Databricks Azure Data Factory and hands-on experience

  • Demonstrate expertise in designing and implementing data architecture solutions in the Cards & Payments domain

  • Have a solid understanding of data security practices and compliance requirements

  • Show proficiency in optimizing data workflows for enhanced performance and reliability

  • Exhibit excellent problem-solving skills and the ability to troubleshoot complex data issues

  • Display strong communication skills to effectively collaborate with cross-functional teams

  • Hold a bachelor's degree in computer science information technology or a related field

  • Preferably have experience in the Cards & Payments domain to provide domain-specific insights

  • Be adaptable to a hybrid work model and comfortable working in day shifts

  • Showcase a proactive approach to learning and adopting new technologies

  • Possess a minimum of 10 years of experience in data architecture roles

  • Demonstrate a commitment to delivering high-quality solutions that align with business objectives.

Applications will be accepted until 23 Mar 2026.


Salary and Other Compensation:

The hourly salary for this position is between $[107,000 - 125,500] 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
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

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.