Sr. Data Engineer and Architect (Hybrid)

Cognizant; Richmond (VA); On-site; USD 117,000 - 143,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an experienced Data Engineer cum Data Architect to design, build, and modernize enterprise-scale data platforms using 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 ecosystems.

The position requires collaboration with data scientists and engineering teams, governance, and security best practices, with competitiveness

Qualifications

• Design and implement enterprise data architectures.
• Develop scalable data pipelines and ETL/ELT frameworks.
• Build and optimize Snowflake data warehouses and data modeling.

Responsibilities

• Design enterprise data architecture for scalable, secure platforms.
• Develop and optimize data pipelines using Python and cloud-native services.
• Architect Snowflake data warehouses with modeling, performance tuning, and security.

Skills

Snowflake

Python

AI/ML

Data architecture

ETL

Tools

Snowflake

Python

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*

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.