Solutions Architect
Collaborative RoboticsSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Payments, Financial Technology, TechnologyIndustries
Requirements
- 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience
- Preferred: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
- Preferred: A Computer Science or similar major
- Preferred: Experience leading delivery of projects or solutions
Responsibilities
- Work directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization
- Develop and design advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem
- Provide domain expertise on the development of technical documentation of solutions and contribute to standard processes in technical documentation as needed
- Play a key role in the development and delivery of new features across products from end-to-end
- Develop data analytic solutions and platforms that serve a significant share of the world’s population, while influencing Visa’s internal standards for scalability, performance, security, and reusability
- Collaborate across functions to create design artifacts and deliver best-in-class data engineering solutions supporting multiple Visa technology offerings
- Contribute to product quality improvements, service reliability, and new business flows within diverse agile squads
- Develop robust, scalable products for a wide range of customers, including end-user merchants, B2B partners, and business-to-government solutions
- Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now, Pay Later capabilities
- Make an impact globally and locally through mentorship and continuous learning opportunities
Skills
Data Engineering
Distributed Systems
Data Analytics
Scalability
Performance Optimization
Security
Reusability
Payment Technology
Risk Analysis
Cyber Security
Visa
Global digital payment network provider
About Visa
Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.
San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
Benefits
Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.
Risks
CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.
Differentiation
Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).
Upsides
Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.
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