PayPal Data Architect 

United States, California, San Jose 

652002993

Job Description:

In this role,to various PayPal business units, partnering with their product engineering teams to architect data solutions that fuel high-priority initiatives. You'll be embedded with these teams from the very beginning, playing a key role throughout the entire data lifecycle.

Here's what you'll do:

End-to-End Data Solution Design encompassing a variety of technologies.

• Traditional & Modern Technologies.Leverage both established data storage solutions and cutting-edge options for optimal data management.
• Data Stores for AI/ML.Integrate storage for various data types,including structured,unstructured,and semi-structured data suitable for vectorization,embedding creation,and model training.
• Hybrid Data Architecture.Craft solutions that seamlessly integrate on-premise,cloud-based,and hybrid data storage options.

• OLTP/SQL Data Stores. Leverage traditional relational databases for transactional data.
• NoSQL Data Stores. Implement scalable NoSQL solutions for high-volume, unstructured data.
• Messaging and Data Movement Products. Integrate message queues and data pipelines for efficient data movement within the hybrid environment.
• Search Engine Products. Utilize search technologies to enable efficient retrieval of specific data sets.
• OLAP Data Stores. Design data warehouses for complex analytics and reporting.

Hybrid Data Architecture Expertise.Craft solutions that seamlessly integrate on-premise, cloud-based, and hybrid data storage options, ensuring optimal data management across the organization.

Data Access Pattern & Structure Design.Design data structures and access patterns that meet both functional and non-functional requirements.

• Functional. Align with the specific business needs of the project.
• Non-Functional. Prioritize security, availability, performance, scalability to create a robust and user-friendly data platform.

As a Customer Champion, you'llcollaborate with domain architects to identify opportunities for data platform improvements.

• Data Security. Enhance data security posture by minimizing risks and vulnerabilities.
• Fault Tolerance. Design data solutions to be highly available and resilient to failures.
• Scalability. Ensure solutions can accommodate future growth.
• Query Performance. Optimize data structures and access patterns for faster queries, ultimately improving the customer experience.
• Drive Improvement Implementation. Not only identify improvement opportunities but also actively work towards their implementation.

We're looking for someone who:

• Has a Bachelor of Science in a technical field, e.g., engineering, chemistry, bio, computer science, etc.
• 8+ years work experience
• Has a strong understanding of data modeling principles and methodologies (conceptual, logical, physical).
• Possesses expertise in various data storage technologies, including traditional and potentially some cloud-native options.
• Thrives in a collaborative environment and enjoys working closely with engineers and architects.
• Has a passion for building secure, scalable, and performant data solutions.
• Demonstrates excellent communication and problem-solving skills.

This role is an excellent opportunity to:

• Play a pivotal role in shaping PayPal's future data landscape.
• Work with a variety of technologies.
• Collaborate with talented teams across different domains.
• Make a real impact on the user experience for millions of customers.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The U.S. national annual pay range for this role is

$96900 to $234300

Our Benefits:

Any general requests for consideration of your skills, please