Snowflake Data Architect - Cloud Data & Analytics Lead

Cognizant; Pierre (SD); On-site; USD 138,000 - 162,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays and PTO

401(k) plan and contributions

Disability insurance

Paid parental leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Data Architect with strong expertise in Snowflake, AWS, DBT, Python, and modern cloud data platforms to support enterprise data engineering and analytics initiatives within the Life Sciences domain.

This role will be responsible for designing scalable data architectures, developing data pipelines, and enabling secure, high‑quality data integration across multiple business and operational systems.

Qualifications

• 8+ years of experience in Data Architecture, Data Engineering, Data Warehousing, or Cloud Data Platform development.
• Strong hands‑on Snowflake data modeling, performance optimization, security, and administration.
• Extensive experience with AWS Cloud Services including S3, Glue, Lambda, EMR, Redshift, and cloud native data architectures.
• Hands on experience with DBT for data transformation, modeling, testing, and deployment.
• Strong programming skills in Python, PySpark, and SQL for data processing, orchestration, and automation.
• Experience designing ETL/ELT solutions and enterprise data integration frameworks.
• 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.

Job description

Cognizant is seeking a Data Architect with strong expertise in Snowflake, AWS, DBT, Python, and modern cloud data platforms to support enterprise data engineering and analytics initiatives within the Life Sciences domain.

This role will be responsible for designing scalable data architectures, developing data pipelines, and enabling secure, high‑quality data integration across multiple business and operational systems.