Description

Design and implement enterprise-scale Snowflake data warehouse solutions and cloud-native data architectures.

This role is hybrid.

Responsibilities

• Lead architecture and design sessions with client stakeholders, SMEs, and technical teams.
• Develop and oversee ETL/ELT pipelines, data ingestion frameworks, and scalable data integration solutions.
• Contribute hands-on to Snowflake development, data modeling, and AWS-based data platform implementation.
• Review and approve code, architecture designs, and technical deliverables prior to deployment.
• Define and enforce architecture standards, ETL best practices, and enterprise data governance requirements.

Required Skills

• 4+ years of hands-on experience with Snowflake Data Warehouse implementations.
• 4+ years of experience with AWS cloud technologies.
• 4+ years of experience developing solutions using Python.
• Strong expertise in ETL/ELT development and enterprise data integration.
• Advanced SQL development and query optimization skills.
• Extensive experience with Dimensional Data Modeling and Enterprise Data Architecture.
• Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.

Preferred Skills

• Experience within the Health Payer or Healthcare industry.
• Experience designing enterprise data foundations and modern data platforms.

Key Skills

Education

Any Graduate