I've found some Delivery Solutions Architect roles in Philadelphia focusing on Data and AI projects. There are options for remote work, suitable for candidates with 5+ years of experience. Additionally, these positions emphasize customer engagement and require programming skills in Python or SQL. Currently, I have 102 matching positions for you.

Sure. Here's the analysis:

Job Analysis:

The Delivery Solutions Architect (DSA) at Databricks is fundamentally hired to act as a bridge between technical excellence and commercial success, particularly focusing on Digital Native customers. This role demands a proactive approach in fostering customer relationships, ensuring technical guidance is effectively applied, and driving strategic growth. Key responsibilities include collaborating with sales and engineering teams to implement the Databricks platform in complex environments, anticipating customer needs, and providing solutions that maximize their return on investment. The DSA must coordinate across multiple teams while managing complex projects, indicating the need for strong cross-functional collaboration. Candidates can expect to face challenges related to customer adoption of the platform, technical issue resolution, and the orchestration of resources to meet customer expectations. Success in this role involves not only achieving customer satisfaction but also demonstrating insight into the technical landscape, leveraging both relational and technical skills to cultivate an environment of growth and innovation.

Company Analysis:

Databricks operates at the intersection of data and AI, serving a diverse clientele that includes leading organizations like Comcast and Shell. As a recognized innovator in the space, the company leverages technologies such as Apache Spark and Delta Lake to empower its customers. Databricks is positioned as a high-growth tech company, suggesting a fast-paced, dynamic work environment that prioritizes innovation and agile responses to market demands. The company culture appears to value collaboration, data-driven decision-making, and a commitment to diversity and inclusion. Within this context, the DSA role is vital, as it directly impacts customer engagements and product adoption, highlighting its strategic importance. This role will likely offer high visibility within the organization, collaborating with executive leaders and contributing to overarching product strategies. Candidates should align their motivations with Databricks' commitment to revolutionizing how organizations utilize data, focusing on building strong customer relationships and creating impactful solutions.

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

• Describe a time when you successfully managed a complex technical project. What challenges did you face, and how did you overcome them?
• Can you provide an example of how you have influenced a client's technical decisions in a past role?
• How do you prioritize tasks when managing a project with multiple stakeholders and timelines?
• Tell me about a situation where you had to conduct a discovery workshop. What was your approach, and what were the outcomes?
• How would you communicate a complex technical concept to a non-technical executive in a customer organization?
• Given a client with a slow adoption rate of Databricks, what strategies would you implement to increase usage and engagement?
• Imagine you are tasked with resolving a critical issue during a client's go-live phase. How would you approach this situation?
• If a conflicting priority arose from different internal teams regarding a customer's needs, how would you mediate that situation?
• Why do you want to work at Databricks, and how do you see yourself contributing to our mission?
• How does your professional experience align with our goal to democratize data and analytics?
• What interests you most about being a Delivery Solutions Architect in the data and AI sector?
• What specific aspects of the Databricks Data Intelligence Platform do you think present the most significant opportunities for our customers?
• Can you discuss a time when you had to adapt your strategies based on client feedback? What changes did you implement?