Data Architect (Snowflake)

ABOUT THE ROLE
In this role, you will contribute to designing and implementing scalable cloud-based data platforms with a strong focus on Snowflake and modern ELT architectures. You will collaborate with technical and business stakeholders to design reliable data solutions, optimize data platforms, and support organizations in building modern analytics ecosystems within AWS environments. You will participate throughout the full project lifecycle, from solution design and proof of concepts to production implementation.
RESPONSIBILITIES
Design and support implementation of scalable data platforms and analytics solutions using Snowflake and AWS services
Design, develop, and optimize ELT pipelines and data transformation workflows using dbt and SQL
Define data models, data warehouse architectures, and source-to-target mappings to support analytics and reporting workloads
Collaborate with stakeholders to gather requirements and translate business needs into scalable technical solutions
Support data ingestion, transformation, and orchestration processes across cloud-based data platforms
Participate in architecture discussions and contribute to data platform evolution, performance optimization, and engineering best practices
Ensure data quality, governance, and maintainability through automated testing, documentation, and CI/CD practices
Create and maintain architecture documentation, data models, and technical design artifacts
Participate throughout the full project lifecycle, from discovery and PoCs to production implementation
REQUIREMENTS
Proven experience designing modern data platforms and cloud-based data warehouse solutions
Strong hands-on experience with Snowflake, including data modeling, performance optimization, and analytics workloads
Experience designing and building ELT pipelines using dbt, SQL, and modern data engineering practices
Strong expertise with AWS services supporting modern data platforms
Proficiency in SQL and Python for data engineering and automation
Experience with orchestration tools such as Apache Airflow or MWAA
Understanding of data warehousing concepts, dimensional modeling, and modern data architecture patterns
Familiarity with CI/CD practices, data quality validation, and version control for data engineering workflows
Upper-intermediate or higher level of English
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law.

Work arrangement
Yes