Job Description
Design and own end-to-end data architecture leveraging AWS cloud services and Snowflake as the enterprise data platform
Define logical and physical data models to support analytics, reporting, and downstream applications
Architect data ingestion pipelines from on-prem and cloud sources using batch and near-real-time patterns
Establish standards for data storage, partitioning, clustering, and performance optimization in Snowflake
Design secure, scalable AWS-based data solutions using services such as S3, IAM, Glue, Lambda, EC2, and networking components
Partner with data engineering teams to guide ETL/ELT architecture and tool selection (e.g., dbt, Glue, Informatica, etc.)
Support cloud migration and modernization initiatives from legacy platforms to AWS/Snowflake
Produce architecture diagrams, design documents, and implementation guidelines
Provide technical leadership, reviews, and mentoring to engineering teams
The role requires hands-on S...
Define logical and physical data models to support analytics, reporting, and downstream applications
Architect data ingestion pipelines from on-prem and cloud sources using batch and near-real-time patterns
Establish standards for data storage, partitioning, clustering, and performance optimization in Snowflake
Design secure, scalable AWS-based data solutions using services such as S3, IAM, Glue, Lambda, EC2, and networking components
Partner with data engineering teams to guide ETL/ELT architecture and tool selection (e.g., dbt, Glue, Informatica, etc.)
Support cloud migration and modernization initiatives from legacy platforms to AWS/Snowflake
Produce architecture diagrams, design documents, and implementation guidelines
Provide technical leadership, reviews, and mentoring to engineering teams
The role requires hands-on S...
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