Okay, I've searched for Senior Data Engineer roles in Charlotte, NC, full-time positions requiring 4+ years of experience with Big Data technologies including Hadoop and Spark. I have found 132 positions for you to review.

Sure. Here's the analysis:

Job Analysis:

The role of AVP, Senior Data Engineer at Synchrony is fundamentally designed to lead the transformation and modernization of the company's data architecture by implementing a robust, consumer-centric, low-latency analytic environment leveraging Big Data technologies. The candidate will be responsible for developing and managing enterprise data lakes, analytic systems, and data warehouses using technologies such as Hadoop, Spark, Kafka, and Redshift, while coordinating closely with cross-functional teams including product owners, scrum masters, and architects. This position demands an individual who can navigate the complexities of large-scale data processing and analytics, agility in adapting to Prioritized business needs, and can effectively communicate technical insights to non-technical stakeholders. Success in this role hinges not only on technical expertise—such as proficiency in big data tools, CI/CD pipelines, programming languages like Scala and Python, and real-time data ingestion—but also on the ability to manage multiple priorities and influence technical standards across teams. The candidate will face challenges around scaling legacy systems, ensuring data quality, maintaining system performance, and driving cross-team collaboration to deliver analytics solutions efficiently. Performance will likely be measured by the ability to deliver scalable big data solutions on time, improve data processing speeds, and enhance the quality and accessibility of analytic outputs that empower strategic business decisions.

Company Analysis:

Synchrony operates as a key player in the consumer financing space, with a mission deeply rooted in improving everyday financial lives through accessible credit solutions. Positioned as a stable and significant financial services provider, Synchrony blends technology-driven innovation with a customer-centric ethos, catering to millions of consumers and a vast network of small-to-medium businesses. The company culture emphasizes flexibility, diversity, and inclusion, fostering an environment valuing unique perspectives and collaboration, which is crucial for roles that demand cross-functional engagement like the Senior Data Engineer. The work environment embraces hybrid flexibility, suggesting a balance between autonomy and team-oriented interactions. Within the organizational hierarchy, this role acts as a strategic technical leader rather than just an individual contributor; it interfaces with architects and product owners and influences engineering standards, indicating a high-visibility position with potential impact on the company's data strategy and analytics capabilities. The hire aims to accelerate Synchrony's tech modernization efforts, enabling better, faster data-driven decision-making aligned with the company’s broader growth and innovation goals. For candidates, thriving here means aligning technical mastery with business impact, embracing inclusivity, and actively contributing to both cultural and technological advancement.

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

• Behavioral: Tell me about a time when you managed competing priorities in a complex data engineering project. How did you ensure on-time delivery without compromising quality?
• Behavioral: Describe a situation where you had to explain a complex technical concept to a non-technical stakeholder. How did you tailor your communication, and what was the outcome?
• Behavioral: Share an experience where you influenced a team or organization to adopt new technical standards or tools. What challenges did you face, and how did you overcome them?
• Behavioral: Can you provide an example of when you identified and solved a critical data quality or performance issue in a real-time data ingestion system?
• Technical: How would you approach designing and implementing an enterprise data lake using Hadoop, Spark, and Kafka, ensuring scalability and low latency?
• Technical: Explain your experience with CI/CD pipelines specifically in a big data environment. How do Git and Jenkins facilitate your workflow?
• Technical: Describe your process for performance tuning and optimizing big data processing jobs in Hive or Spark.
• Technical: What strategies do you use for handling and transforming structured, semi-structured, and unstructured data effectively in large-scale systems?
• Situational: Imagine a scenario where a sudden spike in data volume causes latency issues in your data pipeline. How would you diagnose and resolve this problem under time pressure?
• Situational: Suppose you discover that a recently deployed data transformation is producing incorrect results impacting business dashboards. How would you manage the situation from identification to resolution?
• Situational: You have conflicting priorities from product owners and data platform teams on feature delivery timelines. How do you navigate and negotiate these demands?
• Company Fit/Motivation: What motivates you to apply for a data engineering leadership role at Synchrony, and how do you see yourself contributing to our mission?
• Company Fit/Motivation: Synchrony places a strong emphasis on diversity and inclusion. How have you contributed to fostering an inclusive culture in your previous roles?
• Company Fit/Motivation: How do your career goals align with Synchrony’s strategic focus on transforming legacy systems and enhancing data analytics capabilities?
• Questions to Ask Interviewer: How does the data engineering team at Synchrony currently collaborate with product management and data science teams to prioritize and deliver projects?
• Questions to Ask Interviewer: Can you share more about the biggest technical challenges the data engineering group is facing right now and how this role is expected to address them?
• Questions to Ask Interviewer: What opportunities exist for professional development and growth, particularly in emerging big data technologies, within Synchrony?