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