Principal Architect, Global Manufacturing Cto

Snowflake Snowflake · Data AI · MI, United States · Remote · Solution Engineering

Snowflake is seeking a Principal Architect with deep experience in the Manufacturing industry to design and deliver transformation initiatives powered by data, analytics, and AI. The role involves partnering with customers, translating manufacturing use cases into AI-powered solutions and architectures, creating end-to-end architectures and blueprints that embed AI/ML and agentic flows, driving repeatability and scale through solution assets, influencing the product roadmap, and acting as a thought leader. The ideal candidate has 10+ years of architecture experience in manufacturing, understands manufacturing data topics and challenges, can consultatively engage with customers using data and AI technologies, and has broad experience with data, cloud, and AI technologies.

What you'd actually do

  1. Partner with customers on strategic opportunities: You will drive customer engagement in strategic deals where your industry expertise can help drive Snowflake adoption. You’ll build trusted relationships with executives and enterprise data architects at customer organizations, acting as a trusted advisor who blends business and technical context to advance opportunities.
  2. Innovate and design solutions: Working with the Industry GTM team, you'll translate manufacturing use cases, challenges, and opportunities into data-driven and AI-powered solutions and architecture. This includes creating end-to-end architectures and future-state blueprints, demo showcases that embed AI/ML and agentic flows into solutions for the manufacturing industry.
  3. Drive repeatability and scale: You'll lead strategic initiatives by building repeatable solution assets and frameworks that can be leveraged for global adoption. Your deliverables will include persona use case journeys and system/application architecture, demo showcases that integrate Snowflake into a customer's broader solutions portfolio and ecosystem. You'll also scale your expertise through field enablement and by creating workshops and playbooks.
  4. Influence the product roadmap: Act as a conduit to the product teams, providing structured feedback based on industry needs and customer requirements to shape Snowflake's product roadmap.
  5. Be a thought leader: Drive technical thought leadership for the manufacturing industries through blogs, talks, and field enablement. You will also be a key contributor to industry marketing activities including webinars and conferences.

Skills

Required

  • 10+ years of architecture experience building, consulting to, and / or implementing technology for Manufacturing business units and / or Manufacturing Companies
  • Expert in Manufacturing data topics and are well-versed in the overall challenges and opportunities impacting the Manufacturing industry, ability to map data requirements and processes for the major functional areas for Manufacturing (Supply Chain, IT/OT, Digital Twin, etc.)
  • Ability 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
  • Broad range of experience with technical and design direction including large-scale database and / or data warehouse technology, ETL, analytics and public cloud technologies
  • Understanding of Data Science & Machine Learning concepts and applications in the Manufacturing industry
  • Familiarity with key sources of enterprise data and technologies including ERPs, CRMs, SCMs, MES, SCADA, QMS, LIMS and others.
  • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos is a must
  • Exceptional communication skills, with the ability to explain complex technical concepts clearly to architects, engineers, operators, business leaders, and executive stakeholders.
  • Experience working with senior executives and an ability to quickly establish credibility with senior leadership
  • Bachelor’s Degree required

Nice to have

  • Masters Degree in computer science, engineering, mathematics or related field

What the JD emphasized

  • AI-native thinkers
  • AI as a high-trust collaborator
  • AI/ML and agentic flows
  • data-driven and AI-powered solutions
  • Understanding of Data Science & Machine Learning concepts and applications in the Manufacturing industry

Other signals

  • AI-powered solutions
  • agentic flows
  • Data Science & Machine Learning concepts and applications