Lead Solutions Architect- Data Solutions and Products - job 14 of 20

The core responsibilities of a Lead Solutions Architect- Data Solutions and Products at Visa include defining the technology strategy for the Visa Analytics Platform, collaborating with business leaders to create multi-year strategic plans, promoting architectural best practices for secure product development, driving product convergence initiatives, and working with senior stakeholders to define solutions for new opportunities.

Candidates for the Lead Solutions Architect- Data Solutions and Products position at Visa should possess extensive experience in solution architecture, advanced analytics, machine learning, and big data technologies. A strong understanding of enterprise architecture, experience leading teams, and excellent communication skills are essential for success in this role.

The Lead Solutions Architect influences product development at Visa by advocating for architectural best practices and governance models that ensure the delivery of high-quality products. This role is crucial in guiding teams on ensuring scalability, availability, and security while driving the strategic vision for the Analytics Platform.

The work environment for the Lead Solutions Architect- Data Solutions and Products position at Visa is hybrid. You'll have the flexibility to work from home as well as in the office, allowing a balance between collaboration with team members and focused individual work. Specific in-office days are set by the hiring manager.

Visa actively encourages ongoing learning and thought leadership for Lead Solutions Architects by providing opportunities to present at conferences, publish papers, and engage in knowledge-sharing initiatives. This helps enhance your professional development while contributing to the innovation at Visa.

When discussing your architecture strategy for a data solutions platform, focus on how you would align technology with business goals. Share examples of technologies you would utilize, such as data warehousing or machine learning frameworks, and explain how you would ensure scalability and security.

To approach partnerships with business and product leaders, emphasize the importance of clear communication and understanding their objectives. Detail how you would facilitate workshops or strategic sessions to align on multi-year plans and ensure all stakeholders are engaged and informed.

Promoting architectural best practices involves developing documentation, creating guidelines, and leading workshops. Highlight how you’ve implemented such practices in past roles, resulting in improved product outcomes or team efficiency.

Share your experience with big data technologies by outlining specific tools and platforms you've worked with, such as Hadoop or Spark. Discuss how you've utilized these technologies to solve business problems or enhance operations in previous roles.

To drive product convergence, discuss your strategy for identifying overlapping functionalities across products, guiding stakeholders to align objectives, and implementing a roadmap that describes steps to unify products while adding value to customers.

Talk about how thought leadership plays a significant role in your work by showcasing innovation. Discuss how you've contributed to industry discussions, whether through presentations, publications, or participation in panels, and how it can influence decisions at Visa.

When describing a successful data solution, focus on the problem it solved, the technologies used, and the outcomes achieved. Specific metrics or stakeholder feedback can help demonstrate the impact of your solution.

Prioritizing tasks when working on multiple projects involves assessing urgency and impact. Discuss how you utilize project management techniques or tools to stay organized, ensuring that high-demand areas receive the required focus while aligning with strategic objectives.

Your approach to ensuring data security in solutions should cover both technological and procedural aspects. Talk about encryption standards, data governance frameworks, and ongoing risk assessments you would implement to protect sensitive information across the data solutions.

Handling disagreements within a team requires effective communication and conflict resolution skills. Describe how you approach these situations by facilitating open discussions and focusing on the team's common goals to reach a resolution that satisfies all parties involved.