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.

· Solid 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).

📌 AWS Snowflake Architect (Markham)
🏢 Aaura Softwares
📍 Markham