Director of Data Engineering

As the Director of Data Engineering at Chime, you will lead a team of data engineers and architects in building a scalable data platform that meets various data needs. Your responsibilities will include overseeing data ingestion, implementation of ETL processes, data modeling, and managing data infrastructure to ensure optimal performance and reliability.

To qualify for the Director of Data Engineering role at Chime, you should have at least 15 years of experience in data engineering or architecture, with a minimum of 5 years in a leadership capacity. A Bachelor’s or Master’s degree in Computer Science or a related field is essential, along with expertise in cloud platforms and big data technologies.

The Director of Data Engineering at Chime plays a vital role in architecting data solutions that drive business insights and operational efficiency. By managing a talented team and developing strategic roadmaps, you will contribute directly to Chime's mission of helping members achieve financial progress.

Chime fosters a culture of innovation, accountability, and collaboration. As a Director of Data Engineering, you'll be encouraged to empower your team, share diverse perspectives, and contribute to a shared mission of customer-centric financial progress, all within a supportive environment.

As a Director of Data Engineering at Chime, you can expect a competitive salary starting at $228,870, along with bonuses, equity packages, flexible hybrid work arrangements, generous vacation policies, and comprehensive health benefits. Furthermore, you will enjoy a supportive environment that values professional growth and community involvement.

When answering this question, highlight specific instances where you've successfully led data engineering projects, focusing on team dynamics, your leadership style, and how you inspired your team towards impactful results.

Discuss your understanding of data architectures, the tools you leverage, and the best practices you implement to ensure scalability and reliability. Be sure to mention any methodologies you follow.

Explain your approach to data quality control and security measures. Provide examples of how you've implemented these practices in past projects to protect sensitive information.

Share your hands-on experience with relevant tools and technologies, and explain how you have utilized cloud platforms in your previous roles to deliver effective data solutions.

Use the STAR method (Situation, Task, Action, Result) to describe the project. Focus on the challenges faced, the strategies you employed to overcome them, and the outcome.

Discuss the resources you use, whether it’s attending conferences, following industry leaders, or engaging in professional networks. Show your commitment to continuous learning.

Talk about your mentoring style and provide examples of how you have supported teammates in achieving their professional goals and building their skills.

Provide a specific example of a conflict and how you managed to resolve it while maintaining team cohesion. Emphasize the importance of communication and understanding.

Discuss key metrics like data processing speed, error rates, and data availability. Explain why these metrics are crucial for assessing performance and reliability.

Articulate your alignment with Chime’s mission and values. Mention your enthusiasm for contributing to a company that focuses on empowering individuals financially and how your experience aligns with their objectives.