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Sr. Manager, Data Engineering - job 4 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

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 ready to step into a pivotal role at Visa Technology & Operations LLC as a Sr. Manager, Data Engineering in vibrant Austin, TX? This is your chance to lead the way in building a strong data engineering team tailored for a range of corporate applications, including revolutionary pricing models and efficient billing systems. You’ll be at the helm of driving team growth, focusing on recruiting forward-thinking talents with diverse skills in data engineering and experimentation. Your technical leadership will inspire and elevate your team’s performance, facilitating engaging discussions across all engineering departments to deftly juggle multiple projects. Collaborating closely with key stakeholders—like product management, finance, and operations—you’ll guide the integration of technical feedback into strategic designs and roadmaps for our core platforms. We’re all about fostering excellence, so you’ll establish best practices in application development, championing engineering and operational quality. As you navigate this journey, your communication and presentation skills will shine, reflecting Visa's Leadership Principles. You’ll not only lead the technical charge but also cultivate an inclusive and innovative team culture. With direct reports and potential for partial telecommuting, this position offers a fantastic opportunity to make a lasting impact in one of the most exciting sectors. Join us in shaping the future of data engineering 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 responsibilities include building and managing a robust data engineering team, overseeing the development of advanced data solutions for pricing and billing, and ensuring engagement and performance within your team. You will also be leading strategic discussions with various engineering teams and establishing best practices in application development.

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What qualifications are needed to apply for the Sr. Manager, Data Engineering position at Visa?

To be successful in the Sr. Manager, Data Engineering role at Visa Technology & Operations LLC, candidates typically need a strong background in data engineering, proven leadership experience, and exceptional interpersonal skills. Familiarity with engineering principles and the ability to foster an inclusive team environment are also vital qualifications.

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How does the Sr. Manager, Data Engineering contribute to core platform strategy at Visa?

The Sr. Manager, Data Engineering at Visa Technology & Operations LLC plays a crucial role in shaping core platform strategy by leading the integration of technical feedback into designs and roadmaps. You will influence high-level architectural decisions that align with business objectives, ensuring the data engineering function seamlessly supports the overall mission of Visa.

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What is the team culture like for the Sr. Manager, Data Engineering at Visa?

At Visa Technology & Operations LLC, the team culture for the Sr. Manager, Data Engineering is inclusive and collaborative, emphasizing innovation and diversity of thought. You'll be encouraged to engage openly with your team and stakeholders, fostering a space where creativity and forward-thinking thrive.

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Is there an opportunity for remote work in the Sr. Manager, Data Engineering role at Visa?

Yes, the Sr. Manager, Data Engineering position at Visa Technology & Operations LLC offers the possibility of partial telecommuting, allowing for flexibility while still being actively involved in team and stakeholder engagements at the Austin office.

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

When answering this question, focus on specific experiences where you led a team, highlighting strategies for recruitment, training, and fostering an inclusive culture. Use tangible examples that demonstrate your leadership style and the outcomes achieved through effective team management.

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How do you ensure collaboration between data engineering and other departments?

To effectively ensure collaboration, emphasize your approach to building strong relationships with stakeholders in product management, finance, and operations. Discuss techniques you've used, such as regular cross-department meetings or collaborative projects that enhance communication and alignment.

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What best practices do you follow for application development in data engineering?

Your answer should reflect a thorough understanding of development best practices, such as version control, documentation, ongoing testing, and adherence to engineering excellence standards. Provide examples of how you've implemented these practices in past projects to enhance efficiency and reduce errors.

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How do you approach incorporating feedback into technical designs?

Highlight your methods for gathering and systematically integrating feedback from team members and stakeholders in your designs. Discuss how you've previously iterated on project elements using that feedback to improve outcomes and drive innovation.

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What strategies do you use to inspire and motivate your team?

Mention strategies like setting clear expectations, providing regular feedback, recognizing achievements, and encouraging professional growth. Share specific examples where your motivational tactics improved team performance and engagement.

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Describe a challenging project you've led and how you navigated it.

When discussing a challenging project, outline the situation, the specific obstacles faced, and the strategies you employed to overcome them. Emphasize how your leadership played a role in guiding the team through these challenges while achieving project goals.

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How do you keep up with the evolving data engineering landscape?

Show your commitment to continuous learning by discussing the resources you utilize, such as industry publications, conferences, online courses, and networking with other professionals. Illustrate how you apply learned insights to enhance your team’s work at Visa.

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What is your experience with integrating diverse skill sets into a data engineering team?

Share experiences where you've successfully built teams that leverage diverse backgrounds and skill sets. Highlight how this diversity contributed to richer problem-solving and innovation within your projects, aligning well with Visa’s inclusive culture.

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What do you believe is the future of data engineering at companies like Visa?

Provide insights into emerging trends such as machine learning and big data analytics, discussing how you see these influencing data engineering practices. Conclude with your vision for how Visa Technology & Operations LLC can harness these trends to remain a leader in the financial sector.

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How would you measure the success of your team as a Sr. Manager of Data Engineering?

Outline different metrics you’d use to gauge success, including project delivery timelines, quality of engineered solutions, team engagement levels, and stakeholder satisfaction. Relate these measures to Visa’s overarching goals to showcase your alignment with the company’s mission.

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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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