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103 Xoom Jobs

Data Architect

Xoom Inc

2-4 years

Chennai

1 vacancy

Data Architect

Xoom

posted 5mon ago

Job Role Insights

Key skills for the job

Data Analytics Clinical Data Management Data Processing Data Architecture Data Structures and Algorithms Data Security

+ 2 more

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. 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.