Snowflake Data Architect — Cloud Native & AWS Leader

Cognizant; Trenton (NJ); On-site; USD 138,000 - 162,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Paid holidays

Paid Time Off

401(k) plan and contributions

Employee Stock Purchase Plan

Job summary

Cognizant's AI & Analytics practice seeks a Data Architect with deep expertise in Snowflake, AWS, DBT, Python, and modern cloud data platforms to support enterprise data engineering and analytics in the Life Sciences domain.

The role focuses on designing scalable data architectures, building data pipelines, and enabling secure, high-quality data integration across multiple business and operational systems, combining hands-on engineering with architectural leadership to deliver cloud-native data

Qualifications

• 8+ years in Data Architecture, Engineering, Warehousing, or Cloud Data Platforms.
• Hands-on Snowflake, data modeling, security, and administration.
• Extensive experience with AWS services (S3, Glue, Lambda, EMR, Redshift).
• DBT for data transformation, modeling, testing, deployment.
• Python, PySpark, SQL for data processing and automation.
• ETL/ELT design and enterprise data integration knowledge.
• Unix/Linux, shell scripting, and platform administration.
• Data governance, lineage, metadata, and data quality practices.
• CI/CD, Git versioning, DevOps practices.
• Experience in Life Sciences, Healthcare, or regulated industries preferred.

Responsibilities

• Design scalable cloud-native data architectures using Snowflake, AWS, DBT, and Python.
• Develop and maintain enterprise data pipelines for multiple source systems.
• Build and optimize ETL/ELT frameworks to support analytics.
• Design and support Snowflake data warehouses—schema, performance, clustering, cost.
• Utilize AWS services (S3, Glue, Lambda, EMR, Redshift) to support modern data platforms.
• Establish data quality, governance, lineage, and monitoring frameworks.
• Collaborate with stakeholders to translate requirements into scalable solutions.
• Support data migration, modernization, and cloud transformation in Life Sciences.
• Monitor, troubleshoot, and optimize data workflows for reliability.
• Maintain architecture docs, data flow diagrams, and security/compliance standards.

Skills

Snowflake modeling

AWS Cloud

DBT

Python

PySpark

SQL

Unix/Linux

Shell scripting

CI/CD

Git version control

Data governance

Data quality

Data security

Data architecture

Tools

Airflow

Job description

Cognizant's AI & Analytics practice seeks a Data Architect with deep expertise in Snowflake, AWS, DBT, Python, and modern cloud data platforms to support enterprise data engineering and analytics in the Life Sciences domain.

The role focuses on designing scalable data architectures, building data pipelines, and enabling secure, high-quality data integration across multiple business and operational systems, combining hands-on engineering with architectural leadership to deliver cloud-native data