Lead Data Engineer- Data Serving - job 9 of 21

As a Lead Data Engineer at Visa, you'll provide hands-on technical leadership, guiding a team of engineers in creating high-quality and scalable data solutions. Your responsibilities will include designing reliable systems that meet business needs, mentoring team members, and instilling best practices in software development. You’ll also drive engineering excellence by advocating for automation and efficiency, all while ensuring timely project delivery.

To be considered for the Lead Data Engineer role at Visa, you should have significant experience in data engineering and leadership within the tech industry. Familiarity with various programming languages, ability to lead teams, and a strong track record in delivering data-driven solutions are essential. Additionally, experience with risk and fraud data reduction initiatives will greatly enhance your application.

At Visa, collaboration is key for a Lead Data Engineer! You will work closely with project and product managers, architects, and other development teams globally to tackle technical challenges and drive process improvements. This teamwork is vital for aligning on high-impact data initiatives that influence the larger business goals.

In the Lead Data Engineer role at Visa, you'll be expected to code at least 60% of the time. This hands-on approach ensures you remain actively involved in the development process while providing technical guidance to your team. Your coding will help set a high standard for quality in the solutions developed.

At Visa, the culture of innovation for a Lead Data Engineer involves continuously evaluating new technologies and practices that enhance productivity and quality. You will encourage your team to think creatively and embrace new ideas, fostering an environment where innovative solutions can thrive and make a real difference in the payment landscape.

When answering this question, focus on specific projects where you led or contributed to scalable data solutions. Describe the technologies you used, the challenges you faced, and how you overcame them. Highlight the impact your solutions had on the business to showcase your contribution.

Discuss the best practices you implement for software development, such as code reviews, automated testing, and continuous integration. Illustrate how you prioritize quality while maintaining efficiency, providing specific examples of how these practices improved your team's output.

Explain your mentoring style and how you encourage team members to take ownership of their work. Share instances where you've successfully guided engineers to make key technical decisions, fostering their development and confidence.

Illustrate your familiarity with risk and fraud data challenges by referencing specific methodologies or tools you've employed in past roles. Discuss how your experience has prepared you to tackle similar challenges at Visa.

Emphasize your communication strategy and tools you utilize to stay connected with remote teams. Provide examples of successful collaborations that resulted in overcoming technical challenges while maintaining project timelines.

Discuss your preferred coding languages and provide examples of projects where you've effectively used them. Also, share how you keep your skills sharp—whether through online courses, tech meetups, or contributing to open source projects.

Use the STAR method (Situation, Task, Action, Result) to describe a specific project. Detail your role in leading the team, the decisions you made, and the successful outcome achieved, focusing on the impact on the business.

Talk about your methods for encouraging creativity among team members. Mention initiatives you’ve introduced, such as hackathons or brainstorming sessions, that have led to innovative solutions in the past.

Explain the KPIs that matter to you in the context of data engineering and teamwork. Highlight how you use these metrics to drive performance, improve processes, and celebrate wins with your team.

Discuss your approach to prioritization, emphasizing your use of tools like Agile methodologies or project management software to manage workflows. Provide examples of how you've successfully tackled competing priorities while ensuring high-quality deliverables.