Snowflake Consultant

Role Overview: As a Snowflake Consultant, you will be responsible for a client-facing engagement where you'll contribute to designing and optimizing data architectures, facilitating advanced analytics, and deploying AI/ML models using Snowflake AI Cortex. This role offers a unique blend of data architecture, engineering, and data science, making it an ideal opportunity for someone who can provide strategic advice while also being hands-on with Snowflake. Key Responsibilities: - Architect and implement Customer Data Warehouse (CDW) solutions in Snowflake. - Build scalable ETL/Reverse ETL pipelines that integrate with HubSpot, Salesforce, and other MarTech systems. - Develop and deploy AI/ML models utilizing Snowflake AI Cortex and Snowpark. - Design frameworks for ensuring data quality, governance, and metric validation. - Act as a trusted advisor to clients, offering insights on architecture, data strategy, and activation workflows. Qualifications Required: - Deep expertise in Snowflake, including Snowpark, Snowsight, governance, and optimization. - Hands-on experience with AI Cortex and the deployment of ML models in Snowflake. - Advanced proficiency in SQL and Python (specifically Pandas, NumPy, scikit-learn). - Strong background in data modeling, Customer Data Warehouse (CDW) design, and data governance. - Experience working with MarTech and SalesTech platforms such as HubSpot, Salesforce, and Reverse ETL. - Familiarity with integrations on AWS, GCP, or Azure platforms. About the Company: Our client is a prominent technology company known for its innovation, collaboration, and dedication to fostering employee growth. They provide a dynamic and inclusive work environment where skilled professionals can have a significant impact by leveraging cutting-edge data and AI-driven solutions. Role Overview: As a Snowflake Consultant, you will be responsible for a client-facing engagement where you'll contribute to designing and optimizing data architectures, facilitating advanced analytics, and deploying AI/ML models using Snowflake AI Cortex. This role offers a unique blend of data architecture, engineering, and data science, making it an ideal opportunity for someone who can provide strategic advice while also being hands-on with Snowflake. Key Responsibilities: - Architect and implement Customer Data Warehouse (CDW) solutions in Snowflake. - Build scalable ETL/Reverse ETL pipelines that integrate with HubSpot, Salesforce, and other MarTech systems. - Develop and deploy AI/ML models utilizing Snowflake AI Cortex and Snowpark. - Design frameworks for ensuring data quality, governance, and metric validation. - Act as a trusted advisor to clients, offering insights on architecture, data strategy, and activation workflows. Qualifications Required: - Deep expertise in Snowflake, including Snowpark, Snowsight, governance, and optimization. - Hands-on experience with AI Cortex and the deployment of ML models in Snowflake. - Advanced proficiency in SQL and Python (specifically Pandas, NumPy, scikit-learn). - Strong background in data modeling, Customer Data Warehouse (CDW) design, and data governance. - Experience working with MarTech and SalesTech platforms such as HubSpot, Salesforce, and Reverse ETL. - Familiarity with integrations on AWS, GCP, or Azure platforms. About the Company: Our client is a prominent technology company known for its innovation, collaboration, and dedication to fostering employee growth. They provide a dynamic and inclusive work environment where skilled professionals can have a significant impact by leveraging cutting-edge data and AI-driven solutions.