Okay, I’ve found several Data Engineer roles in Florida that match your criteria of 5+ years in data engineering with a focus on cloud technologies like Snowflake. The positions are full-time, and the salary starts at $162,000. You can explore 45 suitable positions now.

Sure. Here's the analysis:

Job Analysis:

The Solution Engineer - Data Engineering at Snowflake is fundamentally tasked with bridging the gap between technical product offerings and customer needs in the realm of data architecture within the AI Data Cloud. The role entails not just presenting and demonstrating the Snowflake technology but also requires a strategic understanding of customer challenges and articulating how Snowflake's solutions can address specific business problems. Responsibilities include collaborating with sales teams, conducting proof of concept demonstrations, and maintaining competitive insights, which suggests that candidates need strong multi-cloud architecture expertise and hands-on experience in data engineering. Success in this role will depend on the ability to effectively communicate the value of a complex technology suite to diverse audiences, and the candidate will need to demonstrate adaptability in navigating both technical and business discussions, indicating a dynamic interaction within sales cycles. The expectation of integrating Snowflake's capabilities into a broader enterprise architecture underlines the need for strong problem-solving skills, especially when addressing customer-specific contexts, while performance metrics might focus on successful sales conversions and customer engagement outcomes within the first year.

Company Analysis:

Snowflake operates in a rapidly evolving sector that combines data warehousing and lakehouse capabilities with cloud technologies, positioning itself as a leader in enabling organizations to leverage their data efficiently. Given its focus on facilitating the AI Data Cloud, the company is not just a vendor but is seen as a transformative partner for businesses aiming to unlock new insights from data. This context suggests an innovative and growth-focused environment where the company values speed, technical acumen, and the ability to challenge conventional approaches. The organizational culture likely emphasizes collaboration and agility, particularly in how teams interact with both technical and business staff to achieve common goals. The role of Solution Engineer - Data Engineering appears to serve as a strategic facilitator between customer insights and product development, evidencing Snowflake's commitment to adapting its offerings to real-world applications. This alignment underscores the need for candidates to be not just technically proficient, but also to embody the company's values of challenging ordinary thinking in pursuit of innovation.

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

• Tell me about a time when you had to translate a complex technical concept into a compelling value proposition for a non-technical audience.
• Can you describe a challenging sales cycle you were involved in and how you navigated it?
• How do you prioritize your tasks when managing multiple customer requests within a short time frame?
• What specific strategies have you used to understand and address a customer's unique data architecture needs?
• Walk us through your approach to designing and implementing a data pipeline using technologies you are familiar with.
• How do you leverage your hands-on development experience (e.g., SQL, Python) during a customer demo?
• Describe how you would assess a client’s current data handling processes to recommend Snowflake solutions effectively.
• Imagine you are presenting to an executive team that is skeptical about adopting a new data solution. How would you address their concerns?
• Why do you believe your values align with Snowflake's mission and vision?
• What excites you about working in the AI Data Cloud and how do you see yourself contributing?
• How do you stay informed about competitive technologies, and what role does this information play in your sales strategy?
• What specific questions would you ask a prospective client to uncover their pain points?