Titre du poste ou emplacement

AWS Snowflake Architect

UniQtal Solutions LLC

ON, ON

Posté aujourd'hui

Détails de l'emploi :

Télétravail
Temps plein
Expérimenté

Title: AWS Snowflake Architect

Location: Markham, ON (3 days per week- Hybrid)

Duration: 6 to 12 Months

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 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
  • 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 Data Warehouse 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 data 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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