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Remote posting but senior, highly specialized data/LLM skills create moderate applicant competition.
Deep data platform and enterprise LLM experience requires domain-specific background for role fit.
Explicit 10+ years and mandatory Snowflake/dbt/LLM experience create strict filters.
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Lead architecture and hands-on development of Avalara’s AI-enabled data platform, including scalable data pipelines, semantic models, AI-driven data quality frameworks, and large language model workflows.
Design, deploy, and maintain AI-assisted data quality systems and retrieval-augmented generation pipelines integrating Snowflake Cortex, vector search, and orchestration tools to improve product and decision-making outcomes.
Collaborate with cross-functional stakeholders to define KPIs, mentor engineers, conduct architecture reviews, and translate complex AI analytics into actionable insights for leadership.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
10+ years of enterprise experience delivering large-scale cloud data solutions.
Expert proficiency in SQL and Python, with hands-on experience in Snowflake, dbt, Airflow, AWS, and AI model integration.
Proven experience building and deploying large language model systems, including Retrieval-Augmented Generation pipelines and prompt engineering.
Senior-level individual contributor comfortable balancing hands-on technical leadership with mentorship and architectural decision-making.
Deep expertise in AI-native data pipeline design and enterprise-scale semantic modeling within cloud environments.
Demonstrated ability to communicate complex AI and analytics concepts clearly to executive and cross-functional audiences and influence strategic outcomes.