Data Architect

Meet our team : PayPal Data Architecture team is on a mission to build a robust and scalable data platform that empowers our customers. Were looking for a passionate Data Architect to join us in designing and implementing secure, high-performing data solutions that leverage a variety of technologies.

What you need to know about the role :- In this role, youll be a trusted advisor to various PayPal business units, partnering with their product engineering teams to architect data solutions that fuel high-priority initiatives. Youll be embedded with these teams, playing a key role throughout the entire data lifecycle.

Your day to day :

• Develop and implement a long-term data strategy aligned with business objectives, focusing on event-driven architectures and real-time analytics.

• Demonstrate deep expertise in Kappa and Lambda architectures, data modeling, domain-driven design, CQRS, and stream processing frameworks.

• Address complex data challenges, such as large-scale data integration, real-time analytics, and data governance.

• Design and model data structures, schemas, and relationships to optimize performance and scalability.

• Lead the transition of existing applications to event-driven architectures, leveraging event modeling, domain-driven design, and CQRS.

• Collaborate with development teams to ensure seamless integration of data models and architectures.

• Mentor and guide junior data professionals, fostering a culture of innovation and excellence.

• Stay updated on emerging technologies and evaluate their suitability for our organization.

Your way to impact:-

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

Compliance & Governance. Ensure your data architectures and designs adhere to PayPals specific enterprise data architecture standards for each data store type.

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, youll collaborate 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.

What do you need to bring-

• 10+ years of experience as a Data Architect or a similar role.

• Proven track record of leading successful data modernization projects.

• Deep understanding of data modeling techniques.

• Expertise in domain-driven design principles and their application to data modeling.

• Proficiency in Kappa and Lambda architectures, including their benefits, challenges, and best practices.

• Strong experience with stream processing frameworks (e.g., Apache Flink, Apache Spark Streaming).

• Knowledge of data lake and data warehouse concepts.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.

• Certifications related to data architecture, cloud platforms, or data analytics.

• Excellent communication and collaboration skills.