The Snowflake Engagement Manager will drive service opportunities and manage the operational relationship with clients to ensure successful project delivery. They will provide delivery oversight, manage project roadmaps, and collaborate with internal teams to support sales pursuits and resolve complex project challenges.
The AI/ML Architect will lead the end-to-end design and delivery of enterprise-scale AI, machine learning, and Generative AI solutions. This role involves translating complex business requirements into scalable, secure architectures while providing technical leadership across client engagements.
Lead the assessment, design, and modernization of enterprise-scale Snowflake data platforms for diverse clients. Define target-state architectures and guide multidisciplinary teams through the implementation of secure, governed, and AI-ready data solutions.
Design, develop, and maintain scalable data pipelines and transformation workflows within the Snowflake platform. Optimize platform performance and cost efficiency while collaborating with stakeholders to deliver secure and high-performing data solutions.
Design, build, and own scalable data pipelines and ingestion processes primarily on the Snowflake Data Cloud. Lead the architecture of data models and enforce governance and security standards across the platform.
Serve as a technical advisor to enterprise customers to design scalable data and AI architectures using the Snowflake ecosystem. Partner with sales and delivery teams to lead discovery sessions, develop solution proposals, and oversee architectural implementation.
Own the full enterprise sales cycle to acquire new Fortune 1000 clients and drive net-new business. Develop strategic go-to-market plans and collaborate with technical teams to deliver tailored cloud and data modernization proposals.
