Sr. Manager, Data Engineering - job 15 of 23

As a Sr. Manager, Data Engineering at Visa Technology & Operations LLC, you will be responsible for building and nurturing a strong data engineering team, engaging in technical discussions across various engineering teams, leading partnerships with stakeholders, and establishing best practices in application development. Your role will also involve influencing core platform strategy and fostering a culture of collaboration and innovation within the team.

The ideal candidate for the Sr. Manager, Data Engineering at Visa Technology & Operations LLC should possess strong technical expertise in data engineering, previous experience in a leadership role, and excellent communication skills. A solid background in building resilient solutions, leading diverse teams, and working with stakeholders from various departments is also essential for success in this position.

Advancing your career as a Sr. Manager, Data Engineering at Visa Technology & Operations LLC involves continuous learning and adapting to emerging technologies in data engineering. Building strong relationships within the organization and leveraging your leadership skills to inspire your team will also provide opportunities for growth, enabling you to influence strategic decisions and initiatives within the company.

The team culture for the Sr. Manager, Data Engineering role at Visa Technology & Operations LLC promotes inclusivity, collaboration, and innovation. You will be encouraged to foster a work environment where everyone’s ideas are valued and creativity is celebrated, empowering your team to exceed expectations while upholding Visa’s Leadership Principles.

Yes, the Sr. Manager, Data Engineering position at Visa Technology & Operations LLC allows for partial telecommuting. This flexibility helps you maintain a healthy work-life balance while being deeply involved in the dynamic work environment in our Austin, Texas office.

When answering this question, highlight specific examples of your past roles where you successfully built teams, focused on diverse skill sets, and achieved significant milestones. Share your approach to team management and how you foster collaboration and innovation.

Be prepared to discuss a specific technical challenge you've encountered in your previous roles. Explain the steps you took to troubleshoot the issue, including collaboration with your team and stakeholders, and how you leveraged best practices to implement a successful solution.

Share your strategies for team engagement, such as regular check-ins, celebrating accomplishments, and providing opportunities for professional growth. Highlight your commitment to fostering an inclusive and supportive work environment, which is essential for motivation.

Discuss your familiarity with industry best practices for application development, focusing on operational excellence, Agile methodologies, and quality assurance. Emphasize your commitment to continual improvement and your role in facilitating those practices within your team.

Explain your approach to receiving and acting on feedback, including how you prioritize constructive criticism and maintain open lines of communication. Provide an example of how you successfully implemented feedback to improve a project or team performance.

Articulate your approach to building relationships with stakeholders by emphasizing communication, active listening, and aligning team objectives with broader organizational goals. Share a specific instance where relationship-building positively impacted a project.

List the data engineering tools and technologies you are proficient in, such as ETL processes, data warehousing solutions, and relevant programming languages. Share how you have applied these tools in your previous positions to drive successful project outcomes.

Discuss how you collaborate with your team and stakeholders to establish both short-term and long-term strategic goals. Mention what metrics you use to measure success and how you adjust your strategies based on evolving business needs.

Emphasize the importance of creating a diverse and inclusive work environment. Provide examples of how you actively promote diversity within your teams, support underrepresented voices, and incorporate diverse perspectives into decision-making.

Highlight your commitment to professional development, such as attending industry conferences, participating in relevant online courses, joining professional networks, or following thought leaders in the data engineering space to stay abreast of emerging trends and technologies.