Okay, I've searched for Principal Data Engineer roles in Stamford, CT that allow for remote work options, require 5+ years of experience, involve skills like ETL, Spark, and AWS, and have a salary starting from $110,000. I found 75 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The AVP Principal Data Engineer role at Synchrony is fundamentally focused on leading the development of a consumer-centric, low-latency analytic environment that leverages modern data technologies. This involves transforming legacy systems and building robust data pipelines using technologies such as Ab Initio, Spark, and Kafka, indicating a tech-forward approach to support high-stakes financial services. A successful candidate will likely tackle challenges such as optimizing data flow for real-time analytics, ensuring compliance with regulatory standards, and driving team performance in a collaborative, agile environment. Key performance indicators may include the successful implementation of scalable data solutions, reduction in processing times, and the fostering of a high-performing culture within the data engineering team. Leadership skills will be crucial, as this role requires influencing high-level decisions, coaching team members, and ensuring that technical standards align with business objectives, demonstrating a significant interplay between technology capabilities and strategic impact on business operations.

Company Analysis:

Synchrony occupies a critical role in the consumer finance landscape, emphasizing accessibility to credit for millions and connecting clients with a vast ecosystem of businesses. As a company that values innovation and adaptability, Synchrony’s culture likely prioritizes quick decision-making and problem-solving within agile teams, making it essential for the AVP Principal Data Engineer to be comfortable in a fast-paced, dynamic environment. This role is situated within a larger organizational context that underscores collaboration across functions and levels, where the candidate may have substantial visibility with senior leadership. Given that this is a strategic role focused on transforming data capabilities, it directly aligns with the company’s goals of enhancing analytical capabilities to support consumer financial needs while ensuring robust compliance with regulations in a highly regulated industry. The emphasis on relationships, teamwork, and mentoring suggests a culture that values not just technical expertise but also emotional intelligence and leadership within team dynamics.

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

• 1. Can you describe a time when you led a data engineering project that involved transforming legacy systems? What were the key challenges, and how did you overcome them?
• 2. How do you prioritize different projects and tasks when working in a fast-paced, agile environment?
• 3. Tell me about a time you successfully communicated complex technical insights to a non-technical audience. How did you ensure understanding?
• 4. Describe a situation where you had to mediate a disagreement between team members or cross-functional teams. What approach did you take, and what was the outcome?
• 5. Explain how you would implement an ETL process using Spark and Ab Initio for a new data pipeline in a DevOps culture.
• 6. What strategies would you employ to maintain the quality and consistency of data within large-scale environments like Cloudera?
• 7. How do you ensure that data solutions developed by your team are scalable and resilient?
• 8. Imagine you're faced with a situation where your data engineering team is falling behind on a key deliverable. What steps would you take to address this issue?
• 9. What does creating a consumer-centric data environment mean to you, and how would you approach it in this role?
• 10. Why are you interested in working at Synchrony specifically, and how does this align with your career aspirations?
• 11. How do you stay updated on the latest trends in data engineering, and how have you applied new knowledge in your previous roles?
• 12. Can you share an example of a complex data solution you implemented and its impact on business operations?
• 13. How do you approach mentoring and coaching team members to promote a culture aligned with company values?
• 14. What aspects of compliance and regulation in data engineering do you think are most crucial in a financial services context?
• 15. What questions do you have for us about our team structure and the projects you would be working on?