AWS Snowflake Architect designing scalable Snowflake and AWS data platforms. Leading ingestion, transformation, governance, and performance optimization for enterprise systems.
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
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
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