Okay, I've searched for Senior Data Engineer roles in Miami that require at least 10 years of experience, focusing on data analytics and engineering, with a preference for cloud technologies, and expertise in PySpark and SQL. I found 172 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Sr. Lead Analytical Data Engineer at ADP is fundamentally tasked with creating a robust data architecture that supports the development and enhancement of insights made available through the company's data analytics offerings. In this role, the individual is expected to bridge the technical and business sides of data, ensuring that data is accurate, accessible, and usable for reporting and analytics purposes. The responsibilities include engaging cross-functionally with various teams, documenting processes and best practices, and advocating for continuous improvement. The ideal candidate will need a deep technical background to handle complex data challenges, showcasing skills in ETL, data modeling, and governance, while also displaying leadership qualities in guiding a matrixed team towards achieving strategic objectives. Success in this role would look like delivering high-quality data products that drive significant business value and enable the analytics team to make informed decisions based on actionable insights.

Company Analysis:

ADP is a recognized leader in providing cloud-based human capital management solutions, positioned prominently in the HR outsourcing and analytics landscape. As a company that values innovation and service excellence, it creates a dynamic environment for roles such as the Sr. Lead Analytical Data Engineer. The corporate culture appears to be one that emphasizes collaboration, continuous learning, and a commitment to delivering value for clients and communities alike. Given ADP's focus on talent and team development, this role not only requires a strong technical acumen but also the ability to engage with various stakeholders to align analytical outputs with broader business goals. Being a part of a matrix organization means that the new hire will work closely with multiple teams and leaders, suggesting a need for exceptional interpersonal skills and a strategic mindset. This role is integral to ADP's goals of expanding its analytics capabilities—focusing on innovation while ensuring that the foundational data layer supports operational and client needs effectively.

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

• Tell me about a time when you led a data engineering project that required cross-functional collaboration.
• Can you describe a challenging data quality issue you've faced and how you resolved it?
• Give an example of how you've used data analytics to drive business outcomes in a past role.
• How do you ensure that data solutions you develop align with organizational objectives?
• What methods do you use for documenting analytics processes and ensuring best practices?
• How would you approach building a data pipeline to support a new analytics initiative?
• What strategies do you employ to maintain data integrity and security while expanding data access?
• Imagine you discover that the data being used for a critical report has errors. How would you approach this situation?
• If a key business leader requests immediate data insights for an important decision, how would you prioritize their needs?
• Why are you interested in working at ADP specifically, and how do you see your values aligning with ours?
• What excites you about the role of Sr. Lead Analytical Data Engineer at ADP, and what do you hope to contribute?
• Can you share your experience with DataBricks and how you've utilized it in past projects?
• How do you stay current with technological advancements in data engineering and analytics?
• What questions do you have about the team you will be working with or the organizational goals for this role?