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Snowflake Architect

JConnect IncKansas City, MO🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationKansas City, MO, United States
AWSSnowflakeGoogle CloudReconciliationAzureCI/CD

Job description

Snowflake Architect

As a Snowflake Architect, you will play a pivotal role in designing, developing, and optimizing our data architecture within the Snowflake platform. You will work closely with data engineers, data scientists, and business stakeholders to ensure that our data infrastructure supports the organization's data strategy and business objectives. Your expertise will be instrumental in building scalable, efficient, and reliable data solutions that drive data-driven decision-making across the organization.

Responsibilities

  • Design and implement data architecture solutions using Snowflake that align with business requirements and technical best practices.
  • Develop and optimize data models, including both dimensional (Star/Snowflake schema) and normalized models, to support various analytical and operational needs.
  • Build and maintain automated data validation and reconciliation frameworks to ensure data integrity and accuracy in large-scale production systems.
  • Collaborate with cross-functional teams to translate complex business logic into clean and efficient technical designs.
  • Leverage modern Cloud platforms and CI/CD pipelines to deploy and manage data infrastructure as code.
  • Provide guidance and mentorship to junior data architects and engineers, fostering a culture of continuous learning and improvement.
  • Stay current with the latest trends and advancements in data architecture, cloud computing, and data engineering to continuously improve our data solutions.

Requirements

<>Required Skills
  • Minimum 8+ years of experience in enterprise Data Architecture and Advanced Data Engineering.
  • Deep, hands-on mastery of Snowflake architecture, optimization techniques, and storage/compute management.
  • Expert-level knowledge of both Dimensional (Star/Snowflake schema) and Normalized data modeling.
  • Proven track record of building automated data validation and reconciliation frameworks for large-scale production systems.
  • Strong exposure to modern Cloud platforms, CI/CD pipelines, and infrastructure-as-code deployment practices.
  • Exceptional stakeholder communication skills with the ability to translate complex business logic into clean technical designs.
<>Preferred Skills
  • Experience with other cloud platforms such as AWS, Azure, or Google Cloud Platform.

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