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About the role

  • AWS Snowflake Architect designing scalable Snowflake and AWS data platforms. Leading ingestion, transformation, governance, and performance optimization for enterprise systems.

Responsibilities

  • Design and implement scalable enterprise data architectures using Snowflake and AWS
  • Develop architectures for data ingestion, transformation, integration, and consumption across enterprise systems
  • Design and optimize ETL/ELT pipelines using AWS Glue, Apache Airflow, dbt, and related technologies
  • Define data models, architecture standards, integration patterns, and technical best practices
  • Optimize Snowflake environments for performance, scalability, security, and cost efficiency
  • Collaborate with engineering, analytics, and business teams to translate data requirements into effective technical solutions
  • Provide technical leadership and guidance to data engineering teams throughout the implementation process
  • Ensure data solutions meet enterprise standards for security, governance, reliability, and performance

Requirements

  • 8+ years of experience in Data Architecture, Data Engineering, or enterprise data platform development
  • Strong expertise in Snowflake architecture, data warehousing, and enterprise-scale data platforms
  • Hands-on experience with AWS cloud services and designing scalable, cloud-based data solutions
  • Strong experience with AWS Glue, Apache Airflow, and dbt for data integration and transformation
  • Expertise in data modeling, ETL/ELT architecture, data pipelines, and data integration patterns
  • Strong proficiency in SQL and Python for data processing and automation
  • Experience designing secure, scalable, and high-performance data architectures
  • Experience within the insurance domain is preferred

Job title

Job type

Full Time

Experience level

SeniorLead

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

AirflowApacheAWSCloudETLPythonSQL

Location requirements

HybridMarkhamCanada

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