Lead a team of industry technical architects driving strategic customer engagements and building prescriptive architecture and frameworks to drive customer adoption of the Snowflake AI Data Cloud. Partner with Sales, GTM, Solution Engineering, Engineering, and Marketing teams.
236k – 310k
On-site20+ YOESolutions Architecture
About the role
Key Responsibilities
Field Engineering Leadership
Industry Leadership for Retail, CPG, Travel & Hospitality, Media & Entertainment, Telecom, consumer oriented industries
Drive strategic customer and partner engagements in partnership with Sales, Solution Engineering, and Industry teams
Evolve engagements from technology discussions to line-of-business and persona-driven use cases, ensuring customer conversations are anchored in business outcomes
Lead workshops and co-creation sessions with customers, applying human-centric design and design thinking methodologies to unlock innovation
Guide customers through an end-to-end journey framework — from persona → journey → architecture → measurable outcomes
Drive the creation of hands-on solution showcases, including demos, videos, applications, and AI agentic experiences that inspire customers and make outcomes tangible
AI first mindset, hands on with AI tooling to execute all facets of the business
Provide thought leadership on the AI Data Cloud across both internal and external forums
Develop and scale repeatable engagement models such as reference architectures, design-led workshops, and industry blueprints
Act as an escalation point for customers, sales teams, and product leadership
Influence product roadmaps by serving as the Voice of the Field to product and engineering teams
Drive operational excellence with KPIs, compensation plans, and execution models
Collaborate with EMEA and APJ counterparts on best practices and approaches
People Management
Build and lead a team of world-class industry technical architects who serve as industry experts and trusted advisors
Create career development plans, coaching processes, and other activities to build a high-performing team
Act as a player/coach working with your team on building reference architectures, solutions, and driving complex strategic customer engagements with line-of-business leaders, CDOs, CTOs, and enterprise architects
Foster a culture of innovation, creativity, and co-solutioning with customers, encouraging the team to think beyond infrastructure into business design outcomes
Develop the team’s storytelling, facilitation, and design skills to bring customer persona journeys to life
Champion the development of solution showcases as a core competency of the team, empowering architects to create innovative demonstrations that resonate with customers
Requirements
20+ years of industry experience in Data & AI engineering or technical solutioning, including 8+ years in a leadership role managing and mentoring high-performing teams (hiring, training, and retaining top talent)
Strong domain expertise in areas such as Data Warehousing, Business Intelligence, Data Analytics, Data Engineering, AI/ML, Generative AI, Cloud Computing, and SaaS solutions
Proven track record of working across organizations to build common engineering infrastructure, processes, and world-class reference architectures
Exceptional communication skills, with the ability to deliver compelling presentations to both technical and executive stakeholders — whether on a whiteboard, through live demos, or formal presentations
Demonstrated expertise in human-centric design, design thinking, or innovation frameworks — running workshops, co-creation sessions, or persona-based solutioning
Ability to translate complex technology into simple, persona-driven narratives that inspire customers to envision new possibilities
Experience driving thought leadership — building repeatable playbooks, reference architectures, and industry narratives that scale innovation across customers and teams
Proven success in developing and delivering solution showcases (e.g., demos, applications, videos, AI-driven experiences) that bring technology and customer outcomes to life
Skills
Data WarehousingBusiness IntelligenceData AnalyticsData EngineeringAI/MLGenerative AICloud ComputingSaaSReference ArchitecturesDesign Thinking
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