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Sr. Manager, Data Engineering - job 23 of 23

Visa Technology & Operations LLC, a Visa Inc. company, needs a Sr. Manager, Data Engineering (multiple openings) in Austin, TX to

  • Responsible for building a strong data engineering team for diverse corporate use cases, including pricing and billing.
  • Grow and expand the team with an eye toward diverse and forward pushing skills that span data engineering, experimentation, and building resilient solutions.
  • Provide technical leadership responsibilities and improve engagement in leading and inspiring teams in their performance and responsibilities.
  • Engage in technical and functional discussion with all engineering teams with strong interpersonal and organizational skills to effectively manage multiple work streams.
  • Lead strong partnerships with key stakeholders, including product management, engineering, finance, and operations.
  • Lead feedback and influence high end technical designs into core platform strategy, roadmap, and adoption.
  • Establish best practices in application development using engineering excellence and operational excellence.
  • Adhere to Visa’s Leadership Principles (VLPs) with excellent communication, storytelling, and presentation skills.
  • Build an inclusive team culture that is innovative and collaborative.
  • Position has direct report(s).
  • Position reports to the Employer’s Austin, Texas office and may allow for partial telecommuting.

Average salary estimate

$140000 / YEARLY (est.)
min
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$120000K
$160000K

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What You Should Know About Sr. Manager, Data Engineering, Visa

Join Visa Technology & Operations LLC as a Sr. Manager in Data Engineering, where your leadership will help shape the future of data solutions in our Austin office. In this role, you will be responsible for building and nurturing a strong data engineering team that tackles diverse corporate use cases, such as pricing and billing. You'll play a pivotal role in growing the team with forward-thinking skills that encompass data engineering as well as experimentation, creating resilient solutions. Your technical leadership will inspire not just your team but also engage with multiple engineering teams, thanks to your exceptional interpersonal and organizational skills. You will be the bridge to our key stakeholders, including product management, engineering, finance, and operations, facilitating impactful discussions and strategic feedback to drive high-end technical designs into our core platform. Establishing best practices in application development while adhering to engineering and operational excellence will be crucial. We value communication, storytelling, and presentation skills aligned with Visa’s Leadership Principles (VLPs) for this position. As the Sr. Manager in Data Engineering, you'll foster an inclusive, innovative, and collaborative team culture, mentoring your direct reports while enjoying the flexibility of partial telecommuting. Join us in driving the future of technology at Visa!

Frequently Asked Questions (FAQs) for Sr. Manager, Data Engineering Role at Visa
What are the responsibilities of a Sr. Manager, Data Engineering at Visa Technology & Operations LLC?

As a Sr. Manager, Data Engineering at Visa Technology & Operations LLC, your primary responsibilities include building and leading a data engineering team that works on vital corporate tasks, including pricing and billing. You'll also engage in technical discussions with various engineering teams, foster partnerships with stakeholders, and influence technical designs that align with the company's core strategy. Additionally, establishing best practices and mentoring your team will be a key part of your role.

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What qualifications do I need to apply for the Sr. Manager, Data Engineering position at Visa?

To qualify for the Sr. Manager, Data Engineering position at Visa Technology & Operations LLC, candidates generally need extensive experience in data engineering, technical leadership capabilities, and strong interpersonal skills. A background in leading engineering teams, as well as familiarity with core technologies and best practices, is crucial. Educational qualifications typically include a degree in Computer Science or a related field, along with several years of relevant experience.

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How can I excel in the Sr. Manager, Data Engineering role at Visa Technology & Operations LLC?

To excel as a Sr. Manager, Data Engineering at Visa, you should focus on developing your team leadership skills and fostering an inclusive team culture. It's equally important to build strong partnerships with stakeholders, efficiently manage work streams, and stay informed about industry trends in data engineering. Emphasizing communication and storytelling skills will also help you convey technical concepts effectively, aligning with Visa's Leadership Principles.

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Is telecommuting an option for the Sr. Manager, Data Engineering position at Visa?

Yes, the Sr. Manager, Data Engineering role at Visa Technology & Operations LLC may allow for partial telecommuting. This offers flexibility while ensuring you're still engaged with your team and stakeholders at the Austin office. Visa recognizes the importance of work-life balance and aims to create a supportive work environment.

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What is the work culture like for a Sr. Manager, Data Engineering at Visa Technology & Operations LLC?

The work culture for a Sr. Manager, Data Engineering at Visa Technology & Operations LLC is collaborative, innovative, and inclusive. The company emphasizes teamwork and encourages managers to promote a culture of creativity and forward-thinking solutions. Employees are expected to demonstrate Visa’s Leadership Principles and engage in practices that foster open communication and professional growth.

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Common Interview Questions for Sr. Manager, Data Engineering
Can you describe your experience with building and leading data engineering teams?

In your response, highlight specific examples where you successfully built a team from the ground up, focusing on the skills you sought in candidates and how those skills contributed to the team's success in achieving corporate goals.

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How do you ensure strong partnerships with stakeholders?

Discuss your methods for engaging with stakeholders, such as regular check-ins, aligning on goals, and actively seeking feedback to inform data engineering projects. Emphasize any tools or strategies you utilize to maintain these relationships.

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Describe a time when you influenced technical design decisions in your previous roles.

Provide a concrete example detailing the situation, your approach to communicating your insights, and how those designs were successfully integrated into the project. This showcases your ability to influence outcomes.

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What strategies do you employ to create an inclusive team culture?

Describe specific initiatives you have implemented or participated in that promote inclusivity, such as mentorship programs, team-building activities, or open forums for discussion. Share the positive outcomes these initiatives generated.

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How do you stay updated with the latest advancements in data engineering?

Discuss the resources you engage with, such as industry conferences, online courses, and networking opportunities. Share how you apply these learnings to your work to improve processes and drive innovation within your team.

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How do you measure the performance of your data engineering team?

Explain the metrics and KPIs you prioritize to assess both team performance and individual contributions, including quality of work, deadlines met, and overall team collaboration.

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Can you give an example of a challenging project you managed? How did you approach it?

Share a specific project that posed challenges, detailing your approach to problem-solving, how you navigated obstacles, and the eventual results of your management efforts.

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What role does communication play in your leadership style?

Highlight your communication philosophy, illustrating how you keep your team informed, encourage feedback, and facilitate open dialogues to ensure everyone feels heard and valued within the team.

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How do you approach mentoring team members in a technical environment?

Discuss your mentoring style and the specific techniques you employ to help team members grow their skills, such as one-on-one sessions, providing constructive feedback, and encouraging continuous learning.

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What are your thoughts on the future of data engineering?

Share your insights on trends and emerging technologies in data engineering, and discuss how you foresee these developments impacting team dynamics, project scope, and company strategies in the coming years.

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Full-time, hybrid
DATE POSTED
April 2, 2025

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