AWS Snowflake Architect

Coforge; Markham; On-site; CAD 140,000 - 210,000; Full time

Job summary

Coforge is seeking an AWS Snowflake Architect with extensive data architecture and engineering experience, including large-scale data transformation programs, ideally in insurance or financial services.

The role focuses on Snowflake on AWS, data pipelines using AWS Glue, Airflow, and dbt, with emphasis on modular, testable transformations and enterprise-scale delivery.

Skills

Data architecture

Snowflake on AWS

AWS Glue

Apache Airflow

dbt

Medallion architecture

Snowflake performance tuning

Cloudera migration

Snowflake

SnowPro Advanced

SQL

Data Modeling

ETL/ELT

Python

Java

Job description

We at Coforge are hiring an AWS Snowflake Architect with following skillset :

• Extensive experience ( 8 + years) in data architecture and engineering, with a proven track record in large – scale data transformation programs, ideally in insurance or financial services.
• Proven experience in architecting and implementing advanced data solutions using Snowflake on AWS.
• Expertise in design and orchestrating data acquisition pipelines using AWS Glue for ETL/ELT , Snowflake OpenFlow and Apache Airflow for workflow automation, enabling seamless ingestion of different data from diverse sources.
• Proven experience in DBT to manage and automate complex data transformations within Snowflake, ensuring modular, testable, and version - controlled transformation logic.
• Experience in implementing the lake house solution, Medallion architecture for financial or insurance carriers.
• Experience in optimizing and tune Snowflake environments for performance, cost, and scalability, including query optimization and resource management.
• Experience in architecting/lead migration of workloads from Cloudera to Snowflake.
• Experience in converting policy/data conversion from legacy to modern platform
• Deep expertise in Snowflake (Snowpro advanced certification preferred), with hands - on experience delivering Snowflake as an enterprise capability.
• Hands - on experience with AWS Glue for ETL/ELT, Apache Airflow for orchestration, and dbt for transformation (preferably deployed on AWS ECS).
• Proficiency in SQL, data modeling, ETL/ELT processes, and scripting languages (Python/Java).