I've searched for Delivery Solutions Architect roles in Detroit, specifically targeting data and AI projects. This includes positions that require at least 5 years of experience, technical project management skills, and knowledge of Python. I found 67 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Delivery Solutions Architect (DSA) role at Databricks is fundamentally about serving as a bridge between technical execution and commercial growth, ensuring that digital-native customers maximize their utilization of the Databricks platform. This role demands a high level of technical acumen paired with excellent interpersonal skills to effectively manage relationships with customers, especially in complex scenarios. One of the primary responsibilities involves orchestrating cross-functional teams to align on customer needs, thereby necessitating strong coordination and strategic planning abilities. As such, a successful candidate will likely face challenges related to customer onboarding, adoption of sophisticated data solutions, and managing technical escalations. Success in this role may be measured by the ability to enhance customer engagement, drive product adoption, and translate technical achievements into business value, ultimately assuring a strong return on investment for the use of Databricks products.

Company Analysis:

Databricks occupies a prominent position in the data and AI industry, known for its innovative solutions that address contemporary data challenges faced by businesses. As a company that partners with influential organizations, including over 60% of the Fortune 500, Databricks emphasizes a mission-driven approach, focusing heavily on empowerment through technology. The culture is likely dynamic and adaptive, reflecting the fast-paced nature of technology, which may pose both opportunities and pressures for the DSA role. The role of the Delivery Solutions Architect is pivotal, working directly with strategic accounts while reporting to a DSA Manager in the Field Engineering organization, which suggests a collaborative network essential for success. This role aligns with broader company goals of driving growth and the acceleration of product usage, emphasizing the critical nature of customer relationships and technical credibility in fulfilling Databricks' mission.

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

• Behavioral Questions:
• 1. Tell me about a time when you faced a significant challenge while managing a technical project. How did you overcome it?
• 2. Describe a situation where you had to build a relationship with a difficult client. What strategies did you use?
• 3. Can you share an experience where your technical insight made a difference in a project’s delivery or outcome?
• 4. Give an example of how you successfully navigated a team conflict to achieve project objectives.
• Technical/Role-Specific Questions:
• 5. How would you approach developing a technical account strategy for a new customer on the Databricks platform?
• 6. What experience do you have with data architecture and distributed data systems? Can you provide examples?
• 7. Describe your process for conducting an open-ended discovery workshop. What key elements do you focus on?
• 8. How do you measure the success of a project post-implementation, particularly in a customer-centric role?
• Situational Questions:
• 9. Imagine a customer is struggling with the onboarding process and is becoming frustrated. How would you address their concerns?
• 10. If you were assigned to a high-stakes project with tight deadlines, how would you prioritize tasks and manage resources?
• Company Fit/Motivation Questions:
• 11. Why are you interested in working at Databricks specifically, given its focus on data and AI?
• 12. How do your values align with Databricks’ commitment to diversity and inclusion?
• Questions for the Candidate to Ask the Interviewer:
• 13. Can you describe the typical career trajectory for a Delivery Solutions Architect at Databricks?
• 14. What are the biggest challenges currently faced by customers that this role will address?
• 15. How does Databricks support continuous learning and growth for its employees in technical roles?