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VBeyond Corporation Linkedin · Posted 2d ago

AWS Snowflake Architect

Canada

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Indexed description

  • 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 designing and orchestrating data acquisition pipelines using AWS Glue for ETL/ELT, Snowflake Openflow, and Apache Airflow for workflow automation, enabling seamless ingestion of data from diverse sources.
  • Proven experience with dbt to manage and automate complex data transformations within Snowflake, ensuring modular, testable, and version-controlled transformation logic.
  • Experience implementing Lakehouse solutions and Medallion Architecture for financial or insurance carriers.
  • Experience optimizing and tuning Snowflake environments for performance, cost, and scalability, including query optimization and resource management.
  • Experience in architecting and/or leading migration of workloads from Cloudera to Snowflake.
  • Experience designing Streamlit applications and defining new capabilities and data products leveraging Snowflake ML and LLMOps capabilities.
  • Experience evaluating data technology platforms, including data governance suites and data security products.
  • Exposure to enterprise Data Warehouse solutions such as Cloudera and AWS Redshift, as well as Informatica toolsets, including IDMC, PowerCenter, and BDM.
  • Ability to develop robust data models and data pipelines to support data transformation, integrating multiple data sources while ensuring data quality and integrity.
  • Ability to document architecture, data flows, and transformation logic to ensure transparency, maintainability, and knowledge sharing across teams.
  • Strong knowledge of data lifecycle management, data retention, and data modeling, along with working knowledge of cloud computing and modern development practices.
  • Experience with data governance, metadata management, and data quality frameworks, such as Collibra and Informatica.
  • Experience in converting policy/data from legacy platforms to modern platforms.
  • 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 such as Python/Java.
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