Senior Snowflake Data Architect – Life Sciences

Cognizant; Olympia (WA); On-site; USD 138,000 - 162,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) plan

Paid Time Off

Parental Leave

Stock Purchase Plan

Job summary

Cognizant's AIA practice is seeking a Data Architect with strong Snowflake, AWS, DBT, Python skills to support enterprise data engineering and analytics initiatives in Life Sciences. You will design scalable data architectures and data pipelines.

The role blends hands-on engineering with architectural leadership to deliver cloud-native data solutions for reporting, analytics, and business transformation.

Qualifications

• 8+ years of experience in Data Architecture, Data Engineering, Data Warehousing, or Cloud Data Platform development.
• Strong Snowflake data modeling, performance optimization, security, and administration.
• Extensive experience with AWS Cloud Services including S3, Glue, Lambda, EMR, Redshift.
• Hands-on DBT for data transformation, modeling, testing, and deployment.
• Strong programming skills in Python, PySpark, and SQL for data processing and automation.
• Experience designing and implementing ETL/ELT solutions and enterprise data integration frameworks.
• Strong knowledge of Unix/Linux environments, shell scripting, and platform administration.
• Understanding of data governance, lineage, metadata management, and data quality best practices.
• Experience with CI/CD pipelines, Git-based version control, and modern DevOps practices.
• Experience within Life Sciences, Pharmaceutical, Healthcare, or regulated industries is highly preferred.
• Excellent communication, stakeholder management, problem-solving, and technical leadership skills.

Responsibilities

• Design and implement scalable cloud-native data architectures leveraging Snowflake, AWS, DBT, and Python.
• Develop and maintain enterprise data pipelines for ingestion, transformation, validation, and distribution of data from multiple source systems.
• Build and optimize ETL/ELT frameworks using DBT, Snowflake, and cloud-native technologies to support analytics and reporting requirements.
• Design and support Snowflake data warehouse solutions, including schema design, performance optimization, clustering, and cost management.
• Utilize AWS services such as S3, Glue, Lambda, EMR, Redshift, and related services to support modern data platform architectures.
• Establish data quality, governance, lineage, and monitoring frameworks to ensure reliable and trusted data assets.
• Collaborate with business stakeholders, data analysts, and application teams to understand requirements and translate them into scalable technical solutions.
• Support data migration, modernization, and cloud transformation initiatives within Life Sciences environments.
• Monitor, troubleshoot, and optimize data workflows to ensure operational stability, performance, and reliability.
• Maintain architecture documentation, data flow diagrams, solution designs, and operational standards while ensuring compliance with security, regulatory, and governance requirements.

Skills

Python

PySpark

SQL

Data Modeling

Tools

Snowflake

AWS

DBT

Unix/Linux

Git

CI/CD

Job description

Cognizant's AIA practice is seeking a Data Architect with strong Snowflake, AWS, DBT, Python skills to support enterprise data engineering and analytics initiatives in Life Sciences. You will design scalable data architectures and data pipelines.

The role blends hands-on engineering with architectural leadership to deliver cloud-native data solutions for reporting, analytics, and business transformation.