Job description

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. *Please note this role is not able to offer visa transfer or sponsorship now or in the future* We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out. Salary and Other Compensation: Applications will be accepted until Sept 25, 2026, The annual salary for this position is between $ 90,000 - $ 130,000 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. 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. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

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.
Please note this role is not able to offer visa transfer or sponsorship now or in the future*
Applications will be accepted until Sept 25, 2026,
The annual salary for this position is between $ 90,000 - $ 130,000 depending on experience and other qualifications of the successful candidate.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Long-term/Short-term Disability
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.

Nice-to-haves

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Application prep

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Keywords to mirror

pythonaimlmachine learning

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave