Director, Industry Solutions

About the role

The Director of Solution Engineering will lead a team of industry technical architects in driving strategic customer engagements and building prescriptive architecture and frameworks for Snowflake customers to adopt the AI Data Cloud. This role requires a unique blend of technical leadership, creative problem solving, and guiding customers from persona-driven use cases to business outcomes.

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.
• 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.

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.

Qualifications

• Master's degree in Computer Science, Engineering, or related field.
• Experience with Snowflake and its ecosystem of partners.
• Experience with Generative AI technologies and their integration into data platforms.
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Experience with data warehousing, data analytics, and data engineering tools and techniques.
• Experience with designing and implementing data-driven solutions for business problems.
• Experience with Agile methodologies and project management.

Skills

• Strategic thinking and problem-solving skills.
• Excellent interpersonal and communication skills.
• Ability to work effectively in a fast-paced, dynamic environment.
• Experience with generative AI and its integration into data platforms.
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Experience with data warehousing, data analytics, and data engineering tools and techniques.
• Experience with designing and implementing data-driven solutions for business problems.
• Experience with Agile methodologies and project management.

Benefits

At Snowflake, we offer a competitive benefits package that includes:

• Medical, dental, vision, life, and disability insurance
• 401(k) retirement plan
• Flexible spending & health savings account
• At least 12 paid holidays
• Paid time off
• Parental leave
• Employee assistance program
• Other company benefits

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