Snowflake Data Architect - Cloud & Life Sciences

Cognizant; Annapolis (MD); On-site; USD 138,000 - 162,000; Full time

Benefits offered by this job

Health insurance

Paid time off

401(k) plan

Disability insurance

Parental leave

Employee stock plan

Job summary

Cognizant is seeking a Data Architect to design scalable cloud-native data architectures leveraging Snowflake, AWS, DBT, and Python. You will develop and maintain enterprise data pipelines, ensure data quality and governance, and collaborate with stakeholders across Life Sciences domains.

The role requires 8+ years in data-related fields, strong Python/SQL, and experience with modern cloud platforms. Expect leadership responsibilities and opportunities to drive data modernization initiatives.

Qualifications

• 8+ years of experience in Data Architecture, Data Engineering, Data Warehousing, or Cloud Data Platform development.
• Strong hands-on expertise with Snowflake including 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 (Data Build Tool) for data transformation, modeling, testing, and deployment.
• Strong programming skills in Python, PySpark, and SQL for data processing, orchestration, 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

Cloud data architecture

Python

SQL

PySpark

Data modeling

DevOps

Stakeholder management

Leadership

Tools

Snowflake

AWS

DBT

Job description

Cognizant is seeking a Data Architect to design scalable cloud-native data architectures leveraging Snowflake, AWS, DBT, and Python. You will develop and maintain enterprise data pipelines, ensure data quality and governance, and collaborate with stakeholders across Life Sciences domains.

The role requires 8+ years in data-related fields, strong Python/SQL, and experience with modern cloud platforms. Expect leadership responsibilities and opportunities to drive data modernization initiatives.