Data Engineer -Sr Consultant-Data Serving - job 3 of 21

As a Senior Consultant - Data Serving at Visa, you'll be responsible for providing hands-on technical leadership to a team in delivering high-quality and scalable data solutions. Your role will involve leading the design and implementation of secure and reliable components, facilitating knowledge transfer during deployments, and driving a culture of innovation through continuous evaluation of technologies. You'll work collaboratively with various stakeholders to develop acceptable solutions while mentoring team members.

To excel as a Senior Consultant - Data Serving at Visa, candidates should have substantial experience in data engineering, with proven success in building solutions for business users. Strong coding skills are essential, and you should be well-versed in agile development practices. Familiarity with risk and identity solutions as well as experience in leading diverse teams is highly desirable. A demonstrated ability to mentor and guide others in technical decision-making is also a key qualification.

At Visa, the work environment for a Senior Consultant - Data Serving is dynamic and collaborative. Employees work in a hybrid setting, blending remote work with office days confirmed by management. This role embraces an agile culture that encourages rapid learning and iteration, allowing team members to actively engage in innovative problem-solving and technical challenges as part of a globally distributed team.

As a Senior Consultant - Data Serving at Visa, you will drive a culture of innovation by continuously assessing new technologies and practices to enhance productivity and code quality. You’ll actively participate in team discussions, encourage experimentation, and lead initiatives that test innovative solutions to improve the overall data handling capabilities at Visa, ultimately shaping the digital payment landscape.

Collaboration is a cornerstone of the Senior Consultant - Data Serving role at Visa. You'll work closely with a diverse team consisting of developers, architects, SMEs, and product owners. This role requires you to facilitate knowledge transfer and nurture a teamwork culture, empowering team members to contribute effectively to projects. Regular communication and collaborative problem-solving are encouraged to meet project goals successfully.

Discuss specific projects you've worked on, focusing on the architecture, technologies used, and impact they had on the organization. Highlight your role in driving results and how your contributions aligned with business objectives, as well as any challenges you faced and how you overcame them.

Outline the steps you take, such as initial requirements gathering, identifying suitable technologies, designing the system architecture, and focusing on scalability through best practices. Emphasize the importance of testing and iteration in your process.

Share your mentoring philosophy and examples of how you've guided junior engineers. Focus on your approach to hands-on training, providing constructive feedback, and how you encourage independent problem-solving skills in your mentees.

Discuss your familiarity with agile principles and frameworks, your participation in ceremonies like sprint planning and retrospectives, and how you ensure that the team remains focused on continuous improvement and delivery of high-quality solutions.

Provide a specific example of a past conflict you resolved within a team environment. Explain your approach to active listening, understanding different perspectives, and facilitating a constructive dialogue that leads to a positive outcome.

Talk about the specific tools you’ve utilized, whether it's databases, ETL tools, or data lakes, and why you prefer them. Highlight any particular instances where your choice of tools led to enhanced efficiency or success in projects.

Discuss the best practices you follow for data security, including encryption, access controls, and regular audits. Emphasize your awareness of relevant regulations and standards that apply to data management in your role.

Describe a specific technology you introduced and how it improved processes. Highlight your role in researching, advocating for its adoption, and coaching others on how to use it effectively.

Explain your methods for identifying bottlenecks in data pipelines, such as conducting performance metrics analysis, and the steps you take to optimize them. Include techniques like parallel processing or efficient data storage solutions.

Articulate your passion for Visa’s mission and how the position aligns with your career goals. Discuss your excitement for the innovative environment at Visa and how your skills can contribute to their projects, particularly in the data engineering landscape.