Snowflake Architect

American IT SystemsDes Moines, IA
Onsite

About The Position

We are seeking a skilled Snowflake Architect to design and implement data architecture solutions using Snowflake, ensuring optimal performance and scalability. This role involves developing and maintaining ETL processes using SnowSQL and Spark for data ingestion and transformation. You will collaborate with data engineers, analysts, and other stakeholders to gather requirements and translate them into technical specifications. The position also includes optimizing existing data pipelines, conducting performance tuning, and staying updated with the latest Snowflake features. You will be responsible for documenting architecture designs and participating in code reviews, providing mentorship to junior team members.

Requirements

  • Snowflake Architect with Azure Cloud Experience and Agentic AI Skills
  • Senior Data Architect who can shape the Azure Snowflake roadmap, migration, Agents for Data Eng SDLC.
  • Proven experience as a Snowflake Architect with a strong focus on SnowSQL.
  • Expertise in Spark for data processing and transformation.
  • In-depth knowledge of Snowflake architecture, features, and best practices.
  • Strong programming skills in SQL and experience with data modeling.
  • Experience with cloud platforms, particularly AWS or Azure.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 10-15 years of experience in software development, with a focus on data architecture and cloud solutions.

Nice To Haves

  • Experience with data visualization tools such as Tableau or Power BI.
  • Familiarity with data governance and security best practices.
  • Knowledge of machine learning concepts and tools.
  • Experience with Agile methodologies and project management tools.
  • Relevant certifications in Snowflake or cloud technologies are a plus.

Responsibilities

  • Design and implement data architecture solutions using Snowflake, ensuring optimal performance and scalability.
  • Develop and maintain ETL processes using SnowSQL and Spark to facilitate data ingestion and transformation.
  • Collaborate with data engineers, analysts, and other stakeholders to gather requirements and translate them into technical specifications.
  • Optimize existing data pipelines and workflows for efficiency and reliability.
  • Conduct performance tuning and troubleshooting of Snowflake environments.
  • Stay updated with the latest Snowflake features and best practices, and provide recommendations for improvements.
  • Document architecture designs, processes, and procedures for future reference and training.
  • Participate in code reviews and provide mentorship to junior team members.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service