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.

The Data division is part of the Visa's technology organization. The division is responsible for maintaining Visa's data assets and provides value added products and services to drive innovation for our partners and clients, within Visa and globally. The Data Platform organization provides systems and services to make data secure, high quality, rich, fast, and easy to use, therefore enabling Visa with the ability to leverage its data asset in an effective and timely manner to maximize technology/business development and differentiate Visa from others in the payment industry.

A successful candidate is one who thrives in a fast-paced environment, has customer obsession, thinks big, and knows how to simplify. This person will leverage sound architectural principles to implement effective and efficient solutions for our users.

As a Senior Technical Staff Engineer in the Data Platform, you will be a technical leader responsible and accountable to lead the engineering team in designing and implementing solutions that enable our users to consume data efficiently, securely, reliably, and in a straightforward manner. This position will report to the Senior Director of Data-as-a-Services development.

Responsibilities:

• Lead a group of Software Engineers to deliver high-quality code to assemble large, complex data sets that meet business requirements using sound software development practices
• Lead the engineering team to work closely with business partners and data consumers to understand the requirements and build the proper engineering solution
• Properly communicate the design ideas and development progress to the executive and leadership teams.
• Work closely and coordinate with the engineering team and crew members to ensure quality products are completed on schedule.
• Identify and drive opportunities for automation and standardization of existing processes. 
• Identifies problems and leads the team to devise appropriate innovative solutions to unique problems actively
• Quality control of work by appropriate reviews
• Keep up with current and developing engineering trends.
• Coach and mentor team members and help them grow professionally

Qualifications

Basic Qualifications:

• 10+ years of industry experience with a Bachelor’s or 8+ years of experience with Masters in Computer Science or equivalent relevant degree
• 7+ years working with Big Data technologies such as Hadoop, Hive, Presto, and Spark
• Excellent Java or Python programming skills.
• Experience working in an agile environment with good software development practices such as CI/CD, code reviews, and test automation
• Experience in building and deploying scalable and resilient products/solutions from the ground up and owing them in production.
• Demonstrate initiative by reaching beyond work assigned to improve output and/or help others understand the technical nuances of the product of expertise
• Excellent collaboration and communication skills
• Ability to effectively communicate architectural issues and concepts to multiple organization levels and executive management
• Understanding descriptive and exploratory statistics, predictive modeling, evaluation metrics, decision trees, machine learning algorithms is a plus.
• Great organizational and time management skills.

Preferred Qualifications:

• Technologist with a strong drive for keeping up with the developments in the related areas in the industry
• Familiarity with containerization and Kubernetes based deployments
• Penchant for ensuring proper metrics instrumentation in software components to help facilitate real-time and remote troubleshooting/performance monitoring
• Experience with solutions built using open-source technologies like Hadoop, Spark, and Hive.
• Experience with RDBMS and NoSQL databases like MySQL, DB2, Redis, and Cassandra
• Experience in translating business requirements into sound architectural design
• Experience using languages like Scala and Golang. Strong on elegant coding, can write very solid prototypes or core components quickly.
• Experience in working with geographically distributed teams
• Experience speaking at conferences, developer summits, or virtual events.
• Experience working in or managing open-source software communities
• Consistently demonstrates extremely high levels of technical knowledge, ingenuity, and creativity.
• Broad knowledge about the design and operation of systems outside of specialty

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.