Senior Snowflake Architect — Cloud Data Pipelines

Cognizant; Montpelier (VT); On-site; USD 116,000 - 136,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k)

Paid Time Off

Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant in the United States is seeking a Data Engineer with Snowflake, AWS, DBT, Python, PySpark and Unix to support data engineering initiatives in the Life Sciences domain.

You will design, build, and maintain scalable data pipelines, ETL/ELT processes, and data transformation models; collaborate with stakeholders to meet data needs while ensuring quality, governance, security, and timely delivery in cloud environments.

Qualifications

• Hands-on experience with Snowflake Data Warehouse.
• Expertise in AWS Cloud Services and cloud-based data architecture.
• Experience with DBT for data transformation and modeling.
• Proficiency in Python and PySpark for data processing.
• Strong understanding of ETL/ELT frameworks and data integration.
• Experience with Unix/Linux scripting and environment management.
• Knowledge of SQL optimization, data modeling, and DB design.
• Familiarity with CI/CD practices and 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 sources.
• Develop data transformation models using DBT and implement data quality/governance best practices.
• 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 to ensure reliability and timely delivery.
• Collaborate with business stakeholders, data analysts, and application teams to understand data requirements.
• Participate in data migration and modernization initiatives within Life Sciences environments.
• Develop and maintain technical documentation and data flow diagrams.
• Ensure compliance with security, regulatory, and data governance standards.

Skills

Snowflake

AWS

DBT

Python

PySpark

Unix/Linux

SQL

Git

Job description

Cognizant in the United States is seeking a Data Engineer with Snowflake, AWS, DBT, Python, PySpark and Unix to support data engineering initiatives in the Life Sciences domain.

You will design, build, and maintain scalable data pipelines, ETL/ELT processes, and data transformation models; collaborate with stakeholders to meet data needs while ensuring quality, governance, security, and timely delivery in cloud environments.