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Lead Data Engineer- Data Serving - job 1 of 21

We are looking for a curious and motivated professional to join our team of passionate and dedicated engineers. We are the Data Custodians at Visa, tackling data and its related challenges at global scale to help the business make data-driven decisions.

As a Lead Data Engineer in Data and Artificial Intelligence Platform (DAP), you will lead a team of data engineers based in Foster City, California, USA. You are a technology leader, with experience in building solutions for business users, leading versatile teams of engineers, and a track record of execution and delivery.  You will work in a rapid-paced environment, embracing a culture where we learn fast and constantly iterate towards success.

You will take a data-driven approach towards reducing the Risk and Fraud in Visa ecosystem by building a comprehensive understanding of our consumers. You will guide and mentor the team to develop platforms, services and solutions on time and within budget. You will work with other development teams globally to collaborate on the solutions.  You will collaborate with Project Managers, Product Managers, architects, SMEs, and businesspeople across the company on high-impact data-related initiatives. This position will report to a Sr. Director of Data-as-a-Services org based in Foster City.

Come join us and see your efforts shape the digital future of payments! 

Essential Functions:

  • Provide hands-on technical leadership, guidance and mentoring to a team of engineers to deliver high-quality, robust, and scalable solutions on time and within the budget.
  • Lead the design and development of a scalable, secure, reliable and performant systems that meet the business requirements.
  • Instill best practices for software development. Drive engineering excellence including automation, quality, efficiency, and productivity.
  • Work with geographically distributed teams on technical challenges and process improvements.
  • Facilitate knowledge transfer to the Engineering and Operations team during and after deployment.
  • Drive a culture of innovation by continuously evaluating technologies and practices that increase productivity and quality.
  • Develop and empower team members to make appropriate technical decisions.
  • Ensure resource availability to support deployment activities in various environments.
  • Work collaboratively with senior management, architects and senior development staff to develop broadly acceptable solutions.
  • This role requires you to code at least 60% of the time in your preferred coding language

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 3 days a week.

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 Lead Data Engineer- Data Serving, Visa

Are you ready to take the next step in your career as a Lead Data Engineer at Visa? Based in the vibrant city of Foster City, we’re on the lookout for an enthusiastic and driven individual to join our dynamic team of engineers. As our Lead Data Engineer in the Data and Artificial Intelligence Platform (DAP), you'll not only oversee a talented group of data engineers but also be at the forefront of tackling data challenges on a global scale. Your role will be pivotal in helping Visa make informed, data-driven decisions that reduce risk and combat fraud. Imagine leading the design and development of scalable, robust systems while fostering a culture of innovation and best practices within your team. Your hands-on technical expertise and leadership will be vital as you collaborate with colleagues across the globe, facilitating knowledge transfer and driving engineering excellence. With the flexibility of a hybrid work model, you’ll spend three days in the office and the remainder working remotely, allowing for a balanced workflow. Dive into an environment that values quick learning and iteration, ensuring your contributions resonate in shaping the digital future of payments. If you're excited about empowering teams, nurturing talent, and making impactful contributions in the fintech space, Visa invites you to join us on this exciting journey.

Frequently Asked Questions (FAQs) for Lead Data Engineer- Data Serving Role at Visa
What are the primary responsibilities of the Lead Data Engineer at Visa?

As a Lead Data Engineer at Visa, you're responsible for providing technical leadership and mentoring to a team of engineers. This includes delivering high-quality, robust, and scalable solutions while overseeing the design and development of secure systems that meet business requirements. You'll closely collaborate with various teams globally to tackle technical challenges, drive improvements, and ensure best practices in software development are upheld.

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What qualifications are required for the Lead Data Engineer position at Visa?

Candidates applying for the Lead Data Engineer role at Visa should have a solid technical background and experience in software engineering, particularly in leading teams to deliver data solutions. Familiarity with coding, strong problem-solving skills, and a track record of executing projects on time and within budget are essential. Additionally, a background in data management and analysis is crucial to effectively reduce risk and combat fraud in the Visa ecosystem.

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How does the hybrid work model work for the Lead Data Engineer at Visa?

The hybrid work model at Visa for the Lead Data Engineer allows you to enjoy a flexible working schedule. Employees are expected to work from the office three days a week, which fosters collaboration and team interaction while also providing the option to work remotely for the remaining days. This flexible approach allows professionals to balance their work-life effectively while still contributing significantly to the team.

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In what ways will I be collaborating with other teams as a Lead Data Engineer at Visa?

In your role as Lead Data Engineer at Visa, collaboration is key. You'll work closely with Project Managers, Product Managers, architects, and business stakeholders to drive high-impact data initiatives. Engaging with global teams, you'll facilitate solutions that enhance productivity and quality, ensuring that the entire organization moves forward efficiently with data-driven decisions.

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What is the company culture like for the Lead Data Engineer at Visa?

Visa promotes a vibrant and innovative company culture for the Lead Data Engineer role, underpinned by a focus on learning, collaboration, and execution. The environment encourages employees to embrace rapid iteration and innovation, fostering a strong sense of teamwork and shared responsibility. Working at Visa means being part of a mission-driven organization that values your contributions to shape the future of payments.

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Common Interview Questions for Lead Data Engineer- Data Serving
Can you describe your experience leading data engineering projects?

In answering this question, emphasize specific projects where you played a leadership role, detailing your approach to project management, the technologies you utilized, and how you ensured your team delivered results on time. Highlight challenges faced and the outcomes achieved, reinforcing your ability to guide and motivate a team.

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What methodologies do you follow for software development?

When discussing software development methodologies, mention your familiarity with Agile, Scrum, or other frameworks. Describe how you implement these methodologies in daily operations, ensuring the team remains productive, engaged, and aligned with project goals. Providing examples of successful iterations will strengthen your answer.

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How do you prioritize tasks within your team?

Showcase your organizational skills and decision-making process for task prioritization. Explain how you assess project requirements, team capacity, and deadlines. Including examples where prioritization led to successful project outcomes can provide greater insight into your strategy.

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What tools and technologies do you prefer for data engineering?

Articulate your experience with popular data engineering tools and technologies such as SQL, Python, Scala, Apache Kafka, or cloud platforms like AWS, GCP, or Azure. Discuss how you leverage these tools to optimize data pipelines and workflows, highlighting your adaptability to new technologies.

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How do you handle conflict or challenges within your team?

Your response should reflect your interpersonal skills and conflict resolution strategies. Share an instance where you managed a team conflict effectively by fostering open communication, encouraging feedback, and focusing on team cohesion, ultimately leading to project success.

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What strategies do you employ to ensure data integrity?

Discuss the importance of data integrity and the strategies you use to maintain it, such as implementing validation checks, monitoring for anomalies, and conducting regular audits. Illustrate how you create a culture of accountability within your team to uphold data quality standards.

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Describe a time when you had to learn a new technology quickly.

Highlight your ability to adapt and learn. Provide an example of a situation where you had to familiarize yourself with a new technology quickly. Explain the steps you took, the resources you utilized, and how this skill benefited your team's projects.

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How do you mentor junior engineers on your team?

Talk about your mentoring philosophy and methods, including one-on-one sessions, pair programming, and fostering a collaborative environment. Provide examples of how your mentorship has positively impacted junior engineers' growth and contributed to team success.

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What role does documentation play in your engineering processes?

Emphasize the significance of thorough documentation in engineering. Explain how you encourage your team to document processes, decisions, and code in a way that benefits current and future team members, promoting transparency and knowledge-sharing.

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How do you align your team's goals with company objectives?

Reflect on your approach to ensuring alignment between team activities and overarching company goals. Explain how you communicate objectives clearly, set measurable KPIs, and drive accountability within the team to contribute towards Visa's mission effectively.

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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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