Solutions Architect - Southwest
SnowflakeFull Time
Senior (5 to 8 years)
Candidates must possess 7+ years of experience in data engineering or architecture, with at least 3 years specifically working with Snowflake. Expertise in data modeling, SQL performance tuning, and Snowflake architectural principles is essential. Proficiency in SQL and working knowledge of Python are required, along with experience in Snowflake compute monitoring, cost control, and resource optimization. Familiarity with GitOps or CI/CD workflows, ETL processes, and data pipeline optimization is also necessary. The role requires a collaborative mindset and the ability to communicate effectively with both technical and business stakeholders, and candidates must be located in the United States.
The Snowflake Data Architect will lead the strategic development of the enterprise data platform, guiding the evolution of the Snowflake environment by setting architectural standards, optimizing cost and performance, and partnering across teams to enable scalable analytics. This includes leading Snowflake platform architecture, defining best practices for data structures and modeling, and guiding schema design with the Data Engineering team. The architect will drive cost optimization efforts, represent the Snowflake platform in strategic projects, and collaborate with a Platform Engineer to implement and maintain Git-based version control, metadata documentation, and object lifecycle standards. Additionally, they will mentor engineers and analysts on Snowflake best practices and performance tuning, and participate in governance efforts, architecture reviews, and cross-functional collaboration.
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