Data Architect

Braintree - San Jose, CA

Full-time - Senior

San Jose, CA

Personal and Laundry Services

About the position

The Senior Data Architect at PayPal will lead the modernization of applications towards Kappa or Lambda architecture, focusing on data modeling, domain-driven design, and real-time data processing. This role involves collaborating with various business units to architect data solutions that support high-priority initiatives, ensuring optimal performance and scalability of data systems.

Responsibilities

• 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 the organization.

Requirements

• 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.

Benefits

• Flexible work environment
• Employee shares options
• Health insurance
• Life insurance