Sr. Manager, Data Engineering

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Team Summary

The Risk and Identity Solutions (RaIS) team provides risk management services for banks, merchants, and other payment networks. Machine learning and AI models are the heart of the real-time insights used by our clients to manage risk. Created by the Visa Predictive Models (VPM) team, continual improvement and efficient deployment of these models is essential for our future success. To support our rapidly growing suite of predictive models we are looking for engineers who are passionate about managing large volumes of data, creating efficient, automated processes and standardizing ML/AI tools.

Technical Leadership

• Provide technical leadership and oversight to software architects, engineers, and data scientists.
• Drive the architecture for key cross-team/cross-product development projects.
• Establish software development and data science best practices via examples and shipping code.
• Ensure engineering and data science excellence (quality, security, performance, scalability, availability, resilience).

Collaboration & Strategy

• Collaborate with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and other Product Development teams to develop complete solutions.
• Drive the coordination, organization, and execution of qualitative and quantitative decisions.
• Guide the delivery of strategic projects aligned with business strategy on innovative payment acceptance and integrated commerce management.
• Collaborate closely with the global product teams in marketing and loyalty to define strategy and communicate a clear vision for the team.

Development & Innovation

• Deliver products with complex technical interdependencies by collaborating with geographically dispersed teams.
• Develop architectures that are inherently secure, robust, scalable, modular, API-centric, and global.
• Optimize the use of Visa’s Platforms & Solutions.
• Make a positive impact on Visa's Loyalty and Marketing team, fostering innovation and exploring new technologies such as Gen AI/ML.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

• 10+ years of relevant work experience with a Bachelor’s Degree 
• Have prior experience in leading team of data engineers developing large scale ETL processing.
• Have deep knowledge in technologies like Python, PySpark/Scala, Spark, Hadoop, Hive.
• Have deep knowledge in backend application development using technologies like Python or Java or Kotlin or Scala.
• Have extensive knowledge in data ware housing solutions.
• Must have deep understanding in spark optimizations, optimizing resource sharing at cluster level.
• Must have deep knowledge in any one of data cataloging tools.
• Must have deep knowledge in real time streaming solutions and tools.
• Must have deep knowledge in SDLC tools like Git/Jenkins/Jira.
• Must know UNIX scripting knowledge.

Preferred Qualifications:

• 8 plus years of relevant experience in distributed computing field.
• Proven knowledge of successful design, architecture, and development of complex systems..
• Expertise with AI/ML frameworks (TensorFlow, PyTorch, etc.), Java/J2EE, Spring, Spring Boot is plus
• Experience in API Development using SOAP or REST, JSON, and XML is plus.
• Experience with AWS environment and services like S3, EMR, step functions, Glue etc.
• Have worked in Feature engineering steps in ML life cycle is huge plus.
• Have worked in PII data and handling with secure protocols is huge plus.
• Strong experience in continuous delivery and DevOps, including infrastructure automation, monitoring, logging, and security implementation.
• Demonstrated ability to deliver on multiple projects and manage priorities based on changing directions

Additional Information

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.