Okay, I've searched for Partner Solution Engineer roles in Utah within the tech industry, requiring AWS certifications, a Bachelor's degree in Computer Science, and 5+ years of experience. I have found 72 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Partner Solution Engineer - Industry Solutions (AWS) at Snowflake is fundamentally tasked with bridging technical innovation and strategic partnerships to co-develop industry-targeted solutions that leverage both Snowflake’s AI Data Cloud platform and AWS services. The role demands a hybrid of deep technical expertise—particularly in cloud architectures, data transformation, and machine learning frameworks—with an equally strong aptitude for collaboration across partner ecosystems and internal teams. This engineer acts as a technical liaison, shaping complex joint solution architectures and proofs-of-concept that resonate with industry-specific pain points, such as those in healthcare or financial services. The requirement to continuously align with AWS solution architects implies the necessity for agility and acute business acumen, as this person will navigate co-selling models requiring nuanced relationship management and strategic enablement. Success in this position looks like not only technically sound solutions but also smooth integration into the sales process, measurable impact through joint customer wins, and proactive innovation by surfacing emerging trends and partnership opportunities. The role is likely to face challenges including bridging multiple stakeholder priorities, managing evolving technical requirements, and maintaining strong AWS expertise while driving value propositions that differentiate Snowflake’s offerings in competitive industry verticals.

Company Analysis:

Snowflake occupies a transformative and rapidly expanding position in the cloud data space as the provider of the AI Data Cloud, uniquely enabling organizations to unify diverse data silos across multiple public clouds with exceptional scale and performance. As a fast-growing innovator, Snowflake’s culture seems to reward creative thinking, rapid innovation, and a mission to redefine data management paradigms. This environment would expect this Partner Solution Engineer role to bring both technical leadership and entrepreneurial spirit to collaborate seamlessly with AWS and industry stakeholders. The company's emphasis on secure, governed data sharing and AI-driven analytics positions the role at a critical nexus of technical excellence and strategic growth. Organizationally, this role likely sits at the intersection of solution engineering, partner management, and industry go-to-market teams, offering visibility and influence across the sales pipeline and product strategy. For a candidate, thriving here involves adaptability to Snowflake’s high-velocity, innovation-driven culture, comfort with ambiguity, and a passion for shaping how enterprises harness data as a competitive advantage. This hire is a strategic growth enabler, pivotal to expanding Snowflake’s footprint in target industries by co-creating differentiated AWS-integrated solutions—essential for scaling the partnership and sustaining Snowflake’s market differentiation.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to collaborate with a partner organization to develop a technical solution. How did you manage differing priorities and ensure successful delivery?
• Behavioral: Describe a situation where you identified a new opportunity by monitoring industry trends. How did you translate that insight into a business or technical initiative?
• Behavioral: Can you share an experience where you supported a sales team technically during a complex sales cycle? What was your approach to balancing technical depth with business understanding?
• Behavioral: Give an example of a time when you had to resolve conflict or misalignment between technical teams from different organizations. How did you facilitate mutual understanding?
• Technical: How would you approach designing a joint solution architecture that integrates Snowflake's Data Cloud with key AWS services to address a specific industry challenge?
• Technical: What steps would you take to develop and validate a proof-of-concept that demonstrates combined Snowflake and AWS capabilities for a customer in financial services?
• Technical: Explain your experience with data transformation tools like dbt or Spark and machine learning frameworks like XGBoost or PySpark ML in building scalable industry solutions.
• Technical: How do you stay current on AWS service offerings and ensure your solutions leverage the most relevant and innovative features for industry-specific needs?
• Situational: Imagine a key AWS partner architect disagrees with your proposed solution design during a joint customer engagement. How would you handle this to maintain partnership alignment?
• Situational: You notice a gap in your team's technical enablement around new AWS services critical to your industry solutions. What actions do you take to address this gap?
• Situational: During a pre-sales engagement, a customer raises concerns about security and compliance related to data sharing across Snowflake and AWS. How do you respond?
• Company Fit: What excites you about Snowflake’s AI Data Cloud vision, and how do you see yourself contributing to this mission through the Partner Solution Engineer role?
• Company Fit: Given Snowflake’s fast-paced growth and innovation-driven culture, how do you adapt your working style to succeed in such an environment?
• Company Fit: How do your previous experiences and values align with Snowflake’s emphasis on collaboration, innovation, and data security?
• Questions for interviewer: How does Snowflake typically measure success for the Partner Solution Engineer role in terms of impact on AWS partnerships and customer adoption?
• Questions for interviewer: What are some of the biggest technical or business challenges your team currently faces when co-developing industry solutions with AWS?
• Questions for interviewer: Can you describe the collaboration dynamics between Snowflake’s Industry GTM teams, AWS partners, and internal engineering during solution development?