Snowflake Data Architect | Cloud ETL & Analytics

Cognizant; Boise (ID); On-site; USD 116,000 - 136,000; Full time

Benefits offered by this job

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

Job summary

Cognizant is seeking a skilled Data Engineer with Snowflake, AWS, DBT, Python, PySpark and Unix to support data engineering initiatives in the Life Sciences domain. The ideal candidate will build scalable pipelines, design ETL/ELT, and manage end-to-end data workflows in cloud environments.

The role focuses on data integration, transformation, and analytics to meet business objectives while collaborating with stakeholders and ensuring quality, security, and governance.

Qualifications

• Hands-on experience with Snowflake Data Warehouse.
• Expertise in AWS Cloud Services and cloud data architecture.
• Experience with DBT for data transformation and modeling.
• Proficiency in Python and PySpark for data processing.
• Strong ETL/ELT, data integration, and pipeline orchestration.
• Unix/Linux scripting and environment management.
• SQL optimization, data modeling, and database design.
• Familiarity with CI/CD practices and version control (Git).

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake, AWS, Python, and PySpark.
• Build and optimize ETL/ELT processes for ingesting, transforming, and loading data from multiple source systems.
• Develop data transformation models using DBT and implement best practices for data quality and governance.
• Work with AWS services such as S3, Glue, Lambda, EMR, Redshift, and other cloud-native data services.
• Design and support data warehousing solutions in Snowflake, including schema design, performance tuning, and optimization.
• Monitor and troubleshoot data workflows, ensuring reliability, accuracy, and timely delivery.
• Collaborate with business stakeholders, data analysts, and application teams to understand data requirements and implement solutions.
• Participate in data migration and modernization initiatives within Life Sciences environments.
• Develop and maintain technical documentation, data flow diagrams, and operational procedures.
• Ensure compliance with security, regulatory, and data governance standards applicable to Life Sciences organizations.

Skills

Snowflake

AWS

DBT

Python

PySpark

Unix

Tools

Git

Job description

Cognizant is seeking a skilled Data Engineer with Snowflake, AWS, DBT, Python, PySpark and Unix to support data engineering initiatives in the Life Sciences domain. The ideal candidate will build scalable pipelines, design ETL/ELT, and manage end-to-end data workflows in cloud environments.

The role focuses on data integration, transformation, and analytics to meet business objectives while collaborating with stakeholders and ensuring quality, security, and governance.