Okay, I've searched for Resident Solutions Architect roles in the Eastern Time Zone, focusing on data engineering and big data projects, requiring 6+ years of experience, and U.S. Citizenship. I have found 45 positions for you. You can review them now.

Sure. Here's the analysis:

Job Analysis:

The Resident Solutions Architect (RSA) role at Databricks is fundamentally about guiding public sector customers through the complexities of big data challenges, leveraging the Databricks platform to maximize the value extracted from their data. This involves engaging in short to medium-term projects that require a deep understanding of both data engineering and data science while serving as a technical point of contact for customers. The RSA must excel in cross-functional coordination, collaborating with engagement managers, technical teams, and clients to ensure project success. Core responsibilities include designing solutions, developing reference architectures, and addressing operational issues—each demanding robust analytical and problem-solving capabilities to navigate technical nuances. A successful candidate would not only deliver projects on time and within specifications but also cultivate strong customer relationships, demonstrating empathy and adaptability to client needs. Performance metrics may not be explicitly outlined, but success in the role can be gauged through client feedback, project completion rates, and the effective transfer of knowledge to customers in the public sector.

Company Analysis:

Databricks stands at the forefront of the data and AI space, empowering a diverse array of organizations, including over 60% of the Fortune 500, to harness their data capabilities. The company embraces an innovative and collaborative culture, indicated by its origins with Apache Spark™ and ongoing commitment to cutting-edge technology. As a candidate, you’ll find that working in such a forward-thinking environment emphasizes agility, continuous learning, and a strong inclination towards solutions that drive transformative change. The RSA role is pivotal within the Professional Services team, acting as both an individual contributor and a facilitator who harnesses team expertise to solve complex customer challenges. This position requires engagement with clients, so interpersonal skills will play a significant role in your effectiveness. The company’s values around diversity and inclusion suggest a supportive environment conducive to personal and professional growth, aligning with Databricks' broader aim of democratizing data and AI. This role not only aims to deliver technical solutions but also embodies the company’s mission of customer empowerment through innovative data practices.

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

• Tell me about a time when you had to resolve a conflict with a customer. What approach did you take, and what was the outcome?
• Describe a challenging data engineering project you worked on. What were the key obstacles, and how did you overcome them?
• Can you provide an example of how you've successfully managed project scope and timelines in a technical delivery?
• What techniques do you use to document technical processes and architectures for clients?
• How do you approach designing a reference architecture for a new big data solution?
• Explain your experience with CI/CD in relation to deploying data architecture projects. What tools did you use?
• How would you evaluate the success of a data integration project post-implementation?
• Imagine a client is facing operational issues with a deployed solution using Databricks. How would you approach diagnosing and resolving the issue?
• What are some common challenges you foresee when migrating a public sector client to a cloud-based data solution?
• Why are you interested in the Resident Solutions Architect role at Databricks, and how do you see your skills contributing to our mission?
• How do you ensure that your solutions are not only technically sound but are also aligned with the client's business objectives?
• What questions do you have about our team culture and how we collaborate on client engagements?
• Can you share your thoughts on how the public sector landscape might influence data architecture and analytics initiatives?