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Data Architect

Data Architect

Paypal
10-15 Years
Not Disclosed

This job is no longer accepting applications

Job Description

PayPal Data Architecture team seeks a highly skilled Senior Data Architect to lead the modernization of our applications towards a Kappa or Lambda architecture. The ideal candidate will have a deep understanding of data modeling, domain-driven design, and CQRS, as well as experience with real-time data processing, analytics and distributed systems.Job Description:

Meet our team : PayPal Data Architecture team is on a mission to build a robust and scalable data platform that empowers our customers. We're 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, you'll be a trusted advisor 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, 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 PayPal's 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, you'll 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.

Key Skills

About Company

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