Lead Data Engineer- Data Serving - job 14 of 21

As the Lead Data Engineer at Visa, your key responsibilities will include providing technical leadership to your team of data engineers, designing and developing scalable systems, and instilling best practices for software development. You will collaborate with various stakeholders across the organization and drive culture of innovation by evaluating the latest technologies.

To qualify for the Lead Data Engineer position at Visa, candidates should have a solid background in data engineering, extensive coding experience, and a proven track record in leading engineering teams. A solid foundation in software development principles and architecture, along with skills in problem-solving, is also essential for this role.

The Lead Data Engineer at Visa plays a critical role in reducing risk and fraud by building a comprehensive understanding of consumer behavior through data analytics. You'll develop systems that leverage data to identify patterns and insights, ultimately contributing to a safer payment ecosystem.

As a Lead Data Engineer at Visa, proficiency in multiple programming languages is beneficial, with a significant focus on your preferred coding language. Familiarity with languages commonly used in data engineering, such as Python, Scala, or Java, will be advantageous for developing robust solutions.

In the role of Lead Data Engineer at Visa, you will lead a team of diverse and skilled data engineers, encouraging collaboration and knowledge sharing. You'll guide this versatile team to develop solutions that meet business needs while fostering a culture of growth and innovation.

In your response, focus on specific projects where you have successfully designed and implemented scalable data systems. Highlight your role in the architecture phase, any technologies used, and the impact of the solution on business outcomes.

Discuss your approach to code reviews, automated testing, and continuous integration practices. Mention tools and methodologies you use to instill best practices among team members and how you foster a culture of quality.

Talk about communication tools, regular team meetings, and collaborative platforms that you have used to maintain cohesion among remote and in-office team members. Emphasize the importance of clear expectations and ongoing support as key strategies.

Share your philosophy on mentorship—how you provide guidance through code reviews, pairing sessions, and encouraging continuous learning. Provide an example where you helped a team member overcome a technical challenge.

Explain how you take the initiative to research new technologies—whether through attending conferences, taking online courses, or participating in professional networks. Share examples of how you have applied new findings to your work.

Prepare to discuss a specific problem in detail, including the context, the challenges faced, your analysis, and the solution you implemented. Highlight the results and any metrics of success that resulted.

Be ready to illustrate your ability to simplify technical jargon into relatable terms. Provide an example of a situation where you had to present data findings or system designs to non-technical team members or executives.

Discuss specific cloud platforms you have experience with, such as AWS, Azure, or Google Cloud, and how you've leveraged their services for data engineering tasks. Highlight any projects where cloud data services significantly improved scalability or performance.

Share techniques you use for prioritization, time management, and resource allocation during high-pressure projects to meet deadlines without compromising the quality of deliverables.

Illustrate your motivation by discussing Visa’s innovative approach to data and technology, the company's reputation, and how your values align with the company’s mission. Provide a personal connection that further reinforces your interest in the role.