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Mid-level generalist title and metro location increase applicants, but niche Snowflake Cortex AI skill reduces competition.
Specialized Snowflake Cortex AI skills increase domain bias, though core data engineering skills remain transferable.
Explicit 5–8 years requirement plus mandatory advanced Snowflake and Cortex AI expertise enforces strict filtering.
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Design, develop, and optimize AI-powered data pipelines and analytics using Snowflake Cortex AI and Snowflake Intelligence features.
Lead architecture and integration of new Snowflake capabilities to enhance data platform features.
Collaborate cross-functionally with data engineers, data scientists, and business stakeholders to implement intelligent data workflows and mentor junior Snowflake engineers.
5–8 years of overall experience in data engineering or analytics.
Strong hands-on expertise with Snowflake, including advanced SQL, data modeling, and performance tuning.
Experience with Snowflake Cortex AI and Snowflake Intelligence modules.
Familiarity with AI/ML concepts and their application in data platforms.
Experienced data engineer comfortable leading architecture decisions and implementing AI-powered data solutions on Snowflake.
Capable of mentoring junior engineers and driving upskilling in specialized Snowflake AI features.
Skilled collaborator bridging technical and business domains to build intelligent data workflows.