Sr. Manager, Data Engineering - job 11 of 23

As a Sr. Manager, Data Engineering at Visa Technology & Operations LLC, you'll be responsible for building a strong data engineering team focused on diverse use cases such as pricing and billing. Your role includes providing technical leadership, engaging with various engineering teams, and managing multiple work streams effectively. Leading partnerships with key stakeholders and establishing best practices in application development are also crucial aspects of this position.

Candidates for the Sr. Manager, Data Engineering position at Visa Technology & Operations LLC should possess a solid background in data engineering and a track record of technical leadership. Experience in building and managing teams, excellent communication skills, and a proven ability to engage with cross-functional teams are essential. Familiarity with operational excellence and best practices in engineering will give candidates an advantage.

The Sr. Manager, Data Engineering at Visa Technology & Operations LLC plays a pivotal role in team growth by focusing on attracting diverse talents with skills in data engineering and experimentation. This includes mentoring team members, establishing a culture of innovation, and promoting collaboration throughout the organization to ensure that the team evolves and meets the demands of a changing landscape.

Visa Technology & Operations LLC is committed to building an inclusive and collaborative team culture with the Sr. Manager, Data Engineering at the forefront. In this role, you'll foster an environment where creativity is encouraged, and team members feel valued, ultimately leading to innovative solutions and improved performance. By adhering to Visa’s Leadership Principles, you will instill a sense of ownership and engagement within your team.

Yes, the Sr. Manager, Data Engineering position at Visa Technology & Operations LLC will primarily report to the Austin office; however, there is flexibility for partial telecommuting. This allows for a better work-life balance while still being actively engaged with the team and stakeholders.

When answering this question, focus on your specific strategies for team building, including hiring practices, fostering team dynamics, and how you ensure diversity in skill sets and perspectives. Highlight how you’ve effectively led teams in past roles, using examples to demonstrate your impact on team performance.

Outline crucial technical skills such as proficiency in data modeling, ETL processes, cloud platforms, and programming languages relevant to data engineering. Discuss how these skills have helped you lead teams and develop solutions in your previous roles.

Explain your method of collaborating with stakeholders, such as product management and finance. Share examples of how you've effectively communicated project goals and gathered feedback to ensure project alignment with business objectives.

Discuss specific strategies you implement to keep your teams motivated, such as recognition programs, growth opportunities, and creating a positive work environment. Provide examples of how these strategies have led to improved team morale and performance.

Talk about your focus on establishing best practices, such as coding standards, regular code reviews, and using proper documentation. Explain how you promote these practices among your team and the benefits they bring to project success.

Be ready to share a specific project that presented challenges. Discuss the obstacles faced and how your leadership and problem-solving skills helped navigate through them, ensuring a successful outcome.

Discuss the resources you utilize to keep informed about the latest trends, such as industry publications, conferences, webinars, or online courses. Highlight any relevant networks or communities you engage with to broaden your knowledge.

Explain the key performance indicators (KPIs) you use to assess project success, such as performance metrics, user feedback, and impact on business outcomes. Provide examples of how you've utilized these KPIs in past projects.

Share your perspective on the emerging trends in data engineering, such as real-time data processing, machine learning integration, and cloud-based solutions. Position yourself as knowledgeable about the evolving landscape and how it will shape future strategies.

Explain your approach to conflict resolution, emphasizing the importance of open communication, active listening, and mediation. Provide a hypothetical scenario or example where you've successfully handled a similar situation.