About the role
As a Data Architect, you will make an impact by designing and delivering scalable, cloud‑based data platforms that enable reliable data processing, orchestration, and analytics. You will be a valued member of the Data Engineering team and collaborate with cross‑functional stakeholders to translate business needs into robust technical solutions using modern AWS and big‑data technologies.
In this role, you will:
- Design, implement, and optimize data orchestration workflows using MWAA (Apache Airflow)
- Develop and maintain Python‑based components for data transformation, automation, and integration
- Build and manage ETL pipelines using AWS Glue to enable efficient and reliable data movement
- Leverage Apache Spark to process large‑scale datasets and support analytical and business‑critical workloads
- Define cloud‑based architecture solutions with a strong focus on scalability, performance, security, and reliability
- Collaborate with business and technical teams to gather requirements and translate them into technical designs
- Review code and enforce best practices across data engineering and software development
- Monitor, troubleshoot, and resolve issues related to data pipelines, workflows, and cloud infrastructure
- Assess existing platforms and recommend improvements to enhance efficiency and reduce operational costs
- Create and maintain technical documentation for architectures, workflows, and processes
- Mentor junior engineers and contribute to a culture of knowledge sharing and continuous improvement
- Stay current with emerging technologies and industry trends to drive innovation
Work model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position.
Working arrangements may change depending on project and business needs, and we will always be clear about role expectations.
What you must have to be considered
- 10 to 14 years of experience in data engineering, architecture, or related technical roles
- Strong hands‑on experience with MWAA (Apache Airflow) for workflow orchestration
- Advanced Python programming skills for data processing and automation
- Proven experience using AWS Glue to build and manage ETL pipelines
- Strong expertise in Apache Spark for big‑data processing and analytics
- Solid understanding of cloud architecture principles and best practices on AWS
- Demonstrated ability to design scalable, production‑grade data solutions
- Strong problem‑solving and troubleshooting skills
- Excellent communication skills and ability to work with diverse stakeholders
These will help you stand out
- AWS Certified Solutions Architect certification
- Apache Spark Developer certification
- Experience working with enterprise‑scale data platforms
- Exposure to Agile or hybrid delivery models
- Passion for mentoring, innovation, and continuous learning
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 strengths to this role.
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge 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, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
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.
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.
Language requirements vary depending on roles, but 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.