Why This Role Stands Out
This hybrid AWS Snowflake Architect role offers a fantastic opportunity to shape impactful data solutions within a reputable company. You'll thrive here if you possess extensive data architecture experience and enjoy leveraging your skills in a collaborative environment. Apply today to advance your career in this exciting position!
Quick Overview
Job Description
Role: AWS Snowflake Architect
Location: Markham, ON 3 days per week– Hybrid
JD :
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).
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