Job Information
Cognizant Business Analyst in Sao Paulo, SP - Rua Jaceru, Brazil
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.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.