AWS Snowflake Architect

Position - AWS Snowflake Architect 

Location  - Markham, ON  3 days per week– Hybrid 

Experience and Capabilities

• 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 architecti ng and implementing advanced data solutions using Snowflake on AWS,
• Expertise in d esign and orchestrati ng 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 o ptimiz ing 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
• Design Streamlit apps and define new capabilities and data products leveraging snowflake ML and LLOPS capabilities .
• Experience in evaluating the data technology platform including da ta governance suites, data security products
• Exposure to enterprise Datawarehouse solution like Cloudera , AWS Redshift and informatica tool sets - IDMC, powercenter, BDM
• Develop robust data models and data pipelines to support data transformation, integrating multiple data sources and ensuring data quality and integrity.
• Document architecture, data flows, and transformation logic to ensure transparency, maintainability, and knowledge sharing across teams.
• Strong knowledge of d ata lifecycle mgmt., data retention, data modelling and working knowledge of cloud computing, and modern development practices.
• Experience with data governance, metadata management, and data quality frameworks (e.g., Collibra, Informatica ).
• 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).