Senior Manager (Data Engineering) - job 1 of 3

As a Senior Manager in Data Engineering at Visa, your primary responsibilities include providing technical leadership to teams of data engineers, overseeing architectural designs for cross-entity projects, and ensuring best practices in software development and data science. You'll collaborate with various departments, managing the execution of strategic projects that align with Visa's mission to enhance payment solutions while driving innovation across the organization.

To qualify for the Senior Manager (Data Engineering) position at Visa, candidates must have over ten years of relevant experience, ideally with a bachelor's degree in a related field. You should possess extensive experience in leading data engineering teams, a solid understanding of technologies like Python and Spark, and familiarity with data warehousing solutions. Knowledge of AI/ML frameworks and cloud environments such as AWS is preferred, making you an excellent fit for this dynamic role.

A Senior Manager in Data Engineering at Visa works with a variety of tools and technologies essential for large-scale data processing and analysis, including Python, PySpark, Hadoop, and various SQL technologies. Expertise in ETL processing, real-time streaming solutions, and SDLC tools like Git, Jenkins, and Jira is crucial. Familiarity with cloud services, particularly in the AWS environment, is also highly valuable for this role.

Visa fosters innovation within the Data Engineering team by encouraging collaboration and exploration of new technologies. In your role, you will be empowered to explore advanced AI/ML technologies and their application in optimizing Visa’s payment solutions. Regular collaboration across departments ensures that you can contribute to strategic projects that promote innovative ideas and solutions, making a substantial impact within the organization.

The work culture for a Senior Manager in Data Engineering at Visa is dynamic and inclusive. The company prioritizes collaboration and cross-team interaction, allowing you to work closely with product development, operations, and cybersecurity teams. With a focus on innovation and excellence, you'll find a supportive environment that values your input and creativity, making your contributions to the payment solutions industry meaningful and impactful.

When answering this question, focus on specific strategies you've employed, such as setting clear goals, fostering communication within the team, or leveraging agile methodologies. Highlight how you have driven the execution of projects and facilitated collaboration between different departments to achieve project success.

In your response, share a specific instance where you faced a complex issue, detailing the problem, your thought process, and the solution you implemented. This demonstrates your analytical skills and ability to handle challenges while managing technical hurdles.

Discuss your approach to promoting best practices, such as code reviews, unit testing, and performance benchmarks. Emphasize the importance of knowledge sharing among team members and how these practices contribute to the overall success of the projects.

Explain your familiarity with AI/ML frameworks and how you've integrated these technologies into data engineering projects. Highlight specific projects or outcomes to convey the real-world impact and your contribution to the business.

Articulate your prioritization methods, such as using Kanban boards or prioritizing tasks based on business impact. Share instances where you successfully balanced competing demands and met deadlines in a fast-paced environment.

In your answer, describe the specific tools and techniques you employ to enhance ETL efficiency, such as parallel processing or data partitioning. Discuss how these optimizations have benefited overall project performance.

Share your strategies for staying informed about industry trends, such as attending conferences, networking with other professionals, or following leading blogs and publications. This demonstrates your commitment to continuous learning and enhancing your technical expertise.

Discuss your familiarity with various cloud services and how you've utilized them in data engineering projects. Provide specific examples of how cloud technologies have improved efficiency and scalability within your previous roles.

Explain the importance of implementing security protocols in data engineering processes, discussing specific measures you've taken, such as data encryption and access controls. Share how these practices protect critical information and maintain quality standards.

Share your techniques for fostering teamwork in remote settings, such as leveraging collaboration tools, regular check-ins, and encouraging open communication. Audience participation fosters engagement and helps maintain a strong team dynamic, even from a distance.