AWS Snowflake Architect
Architect and implement advanced data solutions using Snowflake on AWS, focusing on large-scale data transformation programs. Design and orchestrate data acquisition pipelines and manage complex transformations using DBT and Apache Airflow.
- Hybrid
- Markham, ON
- Posted Jul 28, 2026
- Apply by Aug 27, 2026
- 1 position
Job summary
Job Title: AWS Snowflake Architect Skills: Snowflake, AWS, SQL, ETL, Experience: 15+ years Location: Markham, ON (Hybrid) Duration: Fulltime 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).
What you’ll do
Architect and implement advanced data solutions using Snowflake on AWS, focusing on large-scale data transformation programs. Design and orchestrate data acquisition pipelines and manage complex transformations using DBT and Apache Airflow.
Requirements
Requires over 15 years of experience with deep expertise in Snowflake, AWS Glue, and data engineering, preferably within insurance or financial services. Proficiency in SQL, Python/Java, and experience with Medallion architecture and Cloudera migrations is essential.
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Snowflake
- AWS
- SQL
- ETL
- AWS Glue
- Apache Airflow
- DBT
- Data Architecture
- Data Engineering
- Python
- Java
- Data Modeling
- Medallion Architecture
- Lakehouse Solution
- Cloudera Migration
- Snowpro Certification
Job areas
- Data & Analytics
- Technology
- Software
- Consulting
- Engineering
Additional details
- Minimum education
- Professional degree
- Minimum experience
- 10+ years
- Apply by
- Aug 27, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available