AWS Snowflake Architect

Requirements:

• 8 years of experience in Data Architecture Data Engineering or enterprise data platform development.
• Strong expertise in Snowflake architecture data warehousing and enterprise-scale data platforms.
• Hands-on experience with AWS cloud services and designing scalable cloud-based data solutions.
• Strong experience with AWS Glue Apache Airflow and dbt for data integration and transformation.
• Expertise in data modeling ETL/ELT architecture data pipelines and data integration patterns.
• Strong proficiency in SQL and Python for data processing and automation.
• Experience designing secure scalable and high-performance data architectures.
• Experience within the insurance domain is preferred.

Responsibilities:

• Design and implement scalable enterprise data architectures using Snowflake and AWS.
• Develop architectures for data ingestion transformation integration and consumption across enterprise systems.
• Design and optimize ETL/ELT pipelines using AWS Glue Apache Airflow dbt and related technologies.
• Define data models architecture standards integration patterns and technical best practices.
• Optimize Snowflake environments for performance scalability security and cost efficiency.
• Collaborate with engineering analytics and business teams to translate data requirements into effective technical solutions.
• Provide technical leadership and guidance to data engineering teams throughout the implementation process.
• Ensure data solutions meet enterprise standards for security governance reliability and performance.