Role Summary
We are seeking an experienced Data Engineer cum Data Architect to design, build, and modernize enterprise-scale data platforms leveraging Snowflake, Python, and AI/ML technologies. The role involves defining data architecture, developing scalable data pipelines, enabling advanced analytics, and supporting AI-driven business solutions on cloud-based ecosystems.
Key Responsibilities
• Design and implement enterprise data architecture for scalable, secure, and high-performance data platforms.
• Develop and optimize data pipelines, ETL/ELT frameworks, and data ingestion solutions using Python and cloud-native services.
• Architect and manage Snowflake data warehouse solutions, including data modeling, performance tuning, security, and cost optimization.
• Build and support data solutions for AI/ML use cases, including feature engineering, model data preparation, and MLOps integration.
• Design dimensional models, data marts, and data lake architectures to support reporting, analytics, and machine learning workloads.
• Collaborate with business stakeholders, data scientists, and engineering teams to translate business requirements into technical solutions.
• Establish data governance, metadata management, data quality, and security best practices.
• Drive cloud data modernization initiatives and recommend architecture improvements.
- 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
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap 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, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
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.
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.












