Lead Data Engineer

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Lead Data Engineer at JPMorgan Chase within the Card Technology, you are an integral part of data engineer and architecture team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various Card products in support of the firm’s business objectives.

Job responsibilities

• Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms
• Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
• Implements database back-up, recovery, and archiving strategy 
• Evaluates and reports on access control processes to determine effectiveness of data asset security​ with minimal supervision
• Defining Non-functional requirements and architectures to satisfy availability, extensibility, and resiliency needs

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Good experience in Data modeling, Data Governance and Solution architecture 
• Working experience with both relational and NoSQL databases​
• Experience and proficiency across the data lifecycle
• Experience with database back-up, recovery, and archiving strategy
• Proficient knowledge of Cloud technology, API design & management, 
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Proven experience as a Solution Architect or similar role in digital web and mobile application development
• Experience with cloud platforms such as AWS, Azure, or Google Cloud and in building cloud-native application
• Experience in domain driven design, data modeling, micro services architecture, event & streaming technologies and best practices 
• Advanced experience in API design and management, Service definition and consumption including API, brokers, REST APIs

• Working experience with both relational and NoSQL databases​
• Experience and proficiency across the data lifecycle
• Experience with database back-up, recovery, and archiving strategy
• Proficient knowledge of linear algebra, statistics, and geometrical algorithms