Lead Data Engineer - Data and AI Platform

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, REST API, Machine learning techniques, Deep Learning, gRPC, MLOps tools

Job Description

Payments has become a very active/hot area in the last couple of years, creating a strong demand for innovation. This will be a very exciting area in the next 5 to 10 years. Not only is VISA a leader in the payment industry and has been for a long time, but it is also quickly transitioning into a technology company that is fostering an environment for applying the latest technology to solve exciting problems in this area.

The Data and Artificial Intelligence Platform (DAP) group is a key component of Visa's Technology organization that provides the enabling technology and processes to handle Visa's data assets and deliver valuable information, products, and services to customers. DAP delivers secure, high-quality and easy-to-use Visa core data assets as a service, together with reliable and scalable data platform as a service, to enable Visa and our partners to rapidly and efficiently innovate data-driven business products and services to lead the digital payment industry. Areas of focus include Business Intelligence and Analytics, Artificial Intelligence, Machine Learning, Data as a Service, and Platform as a Service etc. The portfolio comprises of over 60 data products & platforms for various external clients and internal lines of business. We provide services on behalf of traditional bank customers to millions of cardholders and merchants globally. Our application development is on the cutting edge of technology, and we are viewed as innovative leaders within our industry.

The Platform operationalizes the delivery of AI and decision intelligence to ensure ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, platform automates the updates to data, models, and applications. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, this is an ideal place for you!

This position is for a Data Engineer at Lead level with solid Data System development experience, who will contribute to both strategic and tactic planning and execution to continuously advance platform's vision and mission. In this position, you are first a passionate and talented Data engineering experts and system architects that can work in a dynamic environment as a member of Agile Scrum teams.

You will be an integral part of the leadership team, setting up technical roadmap, introducing latest machine learning and system technology to the team, working with development managers and teams to identify and resolve technical challenges, and working with different products and data science teams to streamline the feature request and model onboarding.

This position will be based in Foster City, CA and reporting to VP, technology. If this sounds exciting, we want to chat and tell you more about our work culture and environment and see if this will be a good fit for both of us.

Essential Functions

• Collaborate with project teams, data science teams and development teams to drive the technical roadmap and guide development and implementation of new data driven business solutions.
• Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Responsibilities span all phases of solution development.
• Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.

Qualifications

Basic Qualifications:

• Bachelor degree/Master’s in Computer Science or related field of Software Development. Minimum of 12+ years of Software Development Experience .

Preferred Qualifications:

• Exposure to leading-edge areas such as Machine Learning, Deep Learning, Stream Computing, MLOps.
• Expert in at least one of the following: Golang, Java, or C/C++
• Experience with web service standards and related patterns (REST, gRPC)
• Experience developing large scale, enterprise class distributed system or subsystems that require high availability, low-latency, & strong data consistency computing
• Experience implementing solutions for low-latency, distributed services using open standard technologies.
• Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce
• Experience with distributed caching technologies like Redis
• Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring.
• Experience architecting solutions with Continuous Integration and Continuous Delivery in mind
• Strong interpersonal and leadership skills with effective communication (both written and verbal) skills and the ability to present complex ideas in a clear & concise way, a team player with good work ethics