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.
