I've found 27 AVP Principal Data Engineer roles in Chicago matching your criteria. These positions require 4-5 years of experience in data engineering applications, offer a salary range between $110,000 and$185,000, and most require candidates to thrive in a fast-paced environment. You can start reviewing these opportunities now.

Sure. Here's the analysis:

Job Analysis:

The AVP, Principal Data Engineer at Synchrony is fundamentally tasked with leading the development of an innovative, consumer-centric analytics environment with low latency while transforming legacy systems. This position emphasizes not only technical proficiency in data engineering but also a robust leadership component, as the candidate will guide a team through agile practices while contributing hands-on as necessary. The primary responsibilities include the design and implementation of ETL/ELT processes on various big data technologies and cloud platforms. Success in this role requires the capability to design scalable data applications, mentor a team, and ensure high standards in program delivery while overseeing the collaboration with cross-functional teams. Given the rapid pace and transformative goals of Synchrony, the candidate is likely to encounter challenges such as navigating competing priorities, resolving technical discrepancies, and adapting to emerging trends in data technologies, all while aligning efforts with the company’s mission to enhance consumer financing solutions. Potential success metrics would involve timely project delivery, effective collaboration, and innovation in engineering practices that significantly improve data accessibility and performance within the organization.

Company Analysis:

Synchrony occupies a vital space in the consumer financing sector, focusing on making essential needs more accessible through credit solutions. It positions itself as both a trusted partner for consumers and a critical ally for small and mid-sized businesses, suggesting that the company values community engagement in its operational ethos. The culture appears to prioritize flexibility, innovation, and a collaborative spirit, fostering an environment where technological advancement is crucial. With a commitment to diversity and inclusion, the company empowers employees to contribute their unique perspectives, enhancing creativity and problem-solving. The AVP, Principal Data Engineer role is integral to Synchrony’s strategy, acting as a catalyst for innovation amid its transition from legacy systems to modern analytics capabilities. In this context, this role likely enjoys significant visibility among leadership, as it directly influences outcomes that align with the company’s broader mission of enhancing customer financial health. The indication that the environment is fast-paced and adaptable to industry changes suggests that candidates must not only bring technical skills but also a proactive approach to team dynamics and project challenges to thrive.

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

• Tell me about a time when you had to lead a team through a technically challenging project. What was your approach, and what was the outcome?
• Describe a situation where you had to resolve a conflict within your team. How did you handle it?
• Can you provide an example of how you coached or mentored a less experienced team member?
• Share an experience where you had to make a data-driven decision under time constraints. What was the context?
• How would you approach building a real-time data pipeline using Spark? What specific considerations would you keep in mind?
• Describe your experience with AWS and how you have utilized it in data engineering projects.
• What techniques do you use to ensure data integrity in ETL processes during rapid iterations?
• Imagine you are faced with a sudden requirement change from a product team mid-project. How would you handle this situation, and what factors would you consider?
• Why are you interested in working at Synchrony specifically, and how do you see yourself contributing to our mission?
• What do you believe are the most critical trends in data engineering today, and how might they apply to our projects at Synchrony?
• If you had to prioritize multiple tasks from different stakeholders, how would you determine what to focus on first?
• Can you explain a complex data engineering concept as you would to a non-technical audience?
• What questions do you have about the team dynamics and project approaches at Synchrony?
• How does your previous experience with sensitive data regulation impact your engineering practices?