Snowflake22.04.2026
Principal Architect, Global Manufacturing CTO
Полная занятостьУдалёнка
Обязанности
- 01Partner with customers on strategic opportunities to drive Snowflake adoption
- 02Build trusted relationships with executives and enterprise data architects at customer organizations
- 03Translate manufacturing use cases, challenges, and opportunities into data-driven and AI-powered solutions and architecture
- 04Create end-to-end architectures and future-state blueprints, demo showcases that embed AI/ML and agentic flows into solutions for the manufacturing industry
- 05Lead strategic initiatives by building repeatable solution assets and frameworks for global adoption
- 06Deliver persona use case journeys and system/application architecture, demo showcases that integrate Snowflake into a customer's broader solutions portfolio and ecosystem
- 07Scale expertise through field enablement and by creating workshops and playbooks
- 08Act as a conduit to the product teams, providing structured feedback based on industry needs and customer requirements to help shape Snowflake's product roadmap
- 09Drive technical thought leadership for the manufacturing industries through blogs, talks, and field enablement
- 10Be a key contributor to industry marketing activities including webinars and conferences
Требования
- 0110+ years of architecture experience building, consulting to, and/or implementing technology for Manufacturing business units and / or Manufacturing Companies
- 02Expert in Manufacturing data topics and are well-versed in the overall challenges and opportunities impacting the Manufacturing industry
- 03Ability to map data requirements and processes for the major functional areas for Manufacturing (Supply Chain, IT/OT, Digital Twin, etc.)
- 04Ability to consultatively engage with customers to understand paint points, challenges and come up with right fit solution architecture and help them build the same using latest data and AI technologies
- 05Broad range of experience with technical and design direction including large-scale database and/or data warehouse technology, ETL, analytics and public cloud technologies
- 06Understanding of Data Science & Machine Learning concepts and applications in the Manufacturing industry
- 07Familiarity with key sources of enterprise data and technologies including ERPs, CRMs, SCMs, MES, SCADA, QMS, LIMS and others
- 08Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos is a must
- 09Exceptional communication skills, with the ability to explain complex technical concepts clearly to architects, engineers, operators, business leaders, and executive stakeholders
- 10Experience working with senior executives and an ability to quickly establish credibility with senior leadership
- 11Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience