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Sr. Manager, Data Engineering - job 4 of 20

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

$150000 / YEARLY (est.)
min
max
$120000K
$180000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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

Are you an experienced data engineering leader looking to take the next step in your career? Visa Technology & Operations LLC, a dynamic division of Visa Inc., is on the hunt for a passionate Sr. Manager, Data Engineering in the vibrant city of Austin, TX. This role is your chance to build a strong, diverse team that tackles a variety of corporate use cases, ranging from pricing to billing. You will not only grow and expand the team, but you will also infuse it with cutting-edge skills in data engineering and experimentation. Your technical leadership will shine as you inspire your team to push boundaries and enhance their performance. Communication is key in this role, as you'll be engaging with various engineering teams and managing multiple work streams effectively. You’ll foster partnerships with vital stakeholders across product management, engineering, finance, and operations, ensuring alignment on high-end technical designs and core platform strategy. Establishing best practices in application development while adhering to Visa’s Leadership Principles is pivotal, as you’ll cultivate a culture that values innovation and collaboration. Plus, you’ll have the opportunity to directly manage team members, making a real impact on their careers while also flexibly working from home part-time. If you're ready to shape the future of data engineering at Visa, we can't wait to hear from you!

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

As a Sr. Manager, Data Engineering at Visa Technology & Operations LLC, your main responsibilities will include building and leading a strong data engineering team focused on corporate use cases like pricing and billing. You will drive team growth while ensuring diversity and innovation in skill sets, provide technical leadership, manage multiple work streams, and enhance collaboration with key stakeholders in product management and operations.

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What qualifications are needed to become a Sr. Manager, Data Engineering at Visa Technology & Operations LLC?

To qualify for the Sr. Manager, Data Engineering position at Visa Technology & Operations LLC, candidates typically need a strong background in data engineering and related fields, along with proven leadership experience. A solid understanding of application development best practices and familiarity with engineering excellence principles are essential, alongside excellent communication and organizational skills.

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How does the Sr. Manager, Data Engineering contribute to teamwork at Visa Technology & Operations LLC?

The Sr. Manager, Data Engineering plays a crucial role in fostering an inclusive team culture that promotes collaboration and innovation at Visa Technology & Operations LLC. By providing technical leadership and encouraging open communication, the manager ensures that team members are engaged, inspired, and aligned towards shared goals, enabling the success of diverse data initiatives.

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What types of projects will a Sr. Manager, Data Engineering at Visa Technology & Operations LLC be involved in?

A Sr. Manager, Data Engineering at Visa Technology & Operations LLC will be involved in various data-related projects, including developing robust data pipelines, implementing pricing and billing solutions, and experimenting with data-driven technologies. This role also includes facilitating collaboration across departments to align technical designs with core platform strategies and operational objectives.

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What opportunities for growth exist for a Sr. Manager, Data Engineering at Visa Technology & Operations LLC?

At Visa Technology & Operations LLC, a Sr. Manager, Data Engineering has abundant opportunities for professional growth. By leading a diverse team and engaging with various stakeholders, you’ll enhance your leadership skills, technical knowledge, and industry insights. Furthermore, you’ll contribute to strategic decisions, solidifying your position as a pivotal player in the organization.

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

In responding to this question, focus on specific examples of teams you’ve built and led. Highlight the strategies you employed to foster diversity and innovation, as well as the measurable outcomes achieved under your leadership.

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What methodologies do you utilize for managing multiple work streams in data engineering?

Discuss frameworks or tools you’ve found effective in prioritizing tasks and managing resources. Highlight your organizational skills and how they’ve contributed to successful project deliveries, ensuring alignment with overall business objectives.

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How have you collaborated with cross-functional teams in your previous projects?

Illustrate your ability to work with various departments like product management and finance. Share specific experiences where your collaboration led to improved project outcomes, emphasizing communication strategies you implemented.

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What best practices do you implement in application development?

Speak to your commitment to engineering and operational excellence. Mention specific best practices, such as code reviews, continuous integration, or agile methodologies, that you advocate for to elevate development processes.

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Can you provide an example of how you have inspired your team to achieve a challenging goal?

Share a specific instance where your leadership positively affected your team's performance. Consider mentioning the goal, the action plan you implemented, and the outcome to give a complete picture of your capability.

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What are your strategies for ensuring an inclusive team culture?

Explain how you've created an environment that welcomes diverse perspectives. Offer examples of initiatives or discussions you’ve led, reinforcing your commitment to fostering an inclusive workplace.

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

Highlight your commitment to continuous learning through professional development, attending conferences, or engaging with industry publications. This shows your initiative to stay ahead in the fast-evolving data engineering landscape.

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Describe a time when you influenced technical designs to fit a core platform strategy.

Offer a concrete example that illustrates your ability to shape technical designs based on strategic objectives. Discuss the process through which you collaborated with stakeholders, ensuring alignment and successful execution.

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

Discuss the key performance indicators you use to assess team productivity and project success. This may include speed of delivery, quality of output, or team satisfaction, demonstrating how these metrics align with organizational goals.

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What tools and technologies do you recommend for data engineering projects?

Talk about the tools and technologies you're most familiar with, explaining why you prefer them for data engineering projects. Your discussion should encompass both technical advantages and their importance in enhancing team efficiency.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 4, 2025

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