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Senior role with niche Snowflake/dbt and GenAI skills at a mid-tier, metro hybrid company causing moderate competition.
Strong analytics-engineering focus means skills transfer across industries but requires specific Snowflake/dbt expertise.
Requires deep Snowflake/dbt analytics engineering expertise and demonstrated technical leadership, so strict technical filters apply.
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Lead enterprise analytical data modelling and establish reusable modelling patterns to ensure consistency, performance, and scalability across Data Products.
Drive analytics automation including use of Snowflake Cortex, LLMs, and AI agents to improve productivity and quality by building reusable automation capabilities.
Provide senior technical leadership by setting engineering standards, mentoring engineers, and enabling squads to independently deliver trusted, scalable Data Products.
Strong hands-on experience with Analytics Engineering/Data Engineering, specifically in data modelling, Snowflake, dbt, and SQL.
Proven experience in building automation, reusable engineering frameworks, and scalable analytical architectures.
Technical leadership experience involving influencing multiple teams and mentoring senior engineers.
Work Experience Required: Not explicitly mentioned in the JD.
Hands-on engineering leader comfortable defining strategy and delivering it through working code, prototypes, and production solutions.
Expert in applying GenAI, LLMs, AI agents, or Snowflake Cortex for engineering automation and innovation.
Experienced in creating frameworks and tools that empower distributed analytics teams to build self-service, trusted Data Products independently.