Solution Architect, Cloud Data Solutions

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

About Us: Visa’s Acceptance Solutions Professional Services (ASPS) solves problems and accelerates innovation and growth for our merchants, acquirers, partners, and payment technology providers by providing a range of services including consulting, technology, and business transformation, developing target state architectures, customer journey mapping, solution development, product acceleration, development, testing, migration, implementation, and value realization. 

Position Overview: We are looking for a passionate, dynamic and customer focused Client Solution Architect who is highly skilled and experienced in designing and developing Cloud Data Solutions to join our Visa’s Acceptance Solutions Professional Services team.

The ideal candidate is a motivated self-starter who has a passion for data-driven solutions, can work independently in a fast paced, ambiguous environment with limited supervision, a fast learner, a highly effective communicator with strong ability to influence the solution architecture with internal stakeholders and external clients. They must possess a strong foundation in both data management principles and cloud computing technologies to enable clients to leverage the full potential of cloud technologies for managing and extracting value from their data. They must be able to provide direction when needed to junior architects, consultants, and analysts in the project team.  

Key Responsibilities: As a Solution Architect for Cloud solutions in Visa, you will be responsible for designing and implementing robust data architecture solutions in cloud environments, ensuring optimal performance, scalability, and security. You will be responsible for designing, implementing, and managing client’s data architecture in cloud platforms to support data-driven initiatives. You will work closely with cross-functional teams to ensure that data is accessible, secure, and performs optimally, allowing us to derive actionable insights and drive innovation.

• Conduct workshops to identify client needs, elicit insights and drivers behind the needs, design solutions that meet the client needs considering all vectors that might impact the solution including but not limited to Visa’s Acceptance Platform strategy and direction, client ecosystem, desired time-to-market, and global market applicability.

• Understand current state architecture, define future state vision, and target state architectures, define solutions, and build roadmap of prioritized features to meet client requirements both on and off the Visa Acceptance Platform

• Design and develop robust and scalable data architecture solutions on cloud platforms (e.g., AWS, Azure, Google Cloud).

• Create and optimize data models, schemas, and database designs to support business requirements.

• Leverage expertise in cloud platforms, such as AWS, Azure, Google Cloud, to choose the right services and infrastructure for business’ data needs.

• Design, optimize and manage ETL processes for efficient data extraction, transformation, and loading in the cloud environment.

• Implement security measures and ensure data compliance with industry standards and regulations.

• Seamlessly integrate data from multiple sources to create a unified and accessible data ecosystem.

• Monitor and fine-tune data systems for optimal performance and scalability.

• Establish and enforce data governance policies to maintain data quality and accuracy.

• Collaborate closely with data engineering, data science, and analytics teams to understand their requirements and provide necessary infrastructure.

• Document data architecture designs, processes, and communicate effectively with stakeholders.

• Troubleshoot technical issues and optimize data workflows.

• Stay updated with emerging technologies, tools, and best prac