Job Description

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 Consumer & Community Banking Team, you are an integral part of an agile 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 business functions 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 Adds to team culture of diversity, equity, inclusion, and respect Designing Database, infrastructure architecture disciplines, and business processes.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience in

Amazon Aurora PostgreSQL

Database Administration

/Engineering. Administer, design, implement, and support highly available and scalable AWS RDBMS & Distributed database solutions. Experience in AWS Cloud Relational and NoSQL database management, including AWS Aurora PostgreSQL, AWS RDS, DynamoDB, data replication, and AWS monitoring tools. Implement data models, database designs, data access, and table maintenance codes. Maintain databases with high availability features using data partitioning and database replications. Resolve database performance, capacity, replication, and other data issues. Collaborate with Information Architects and Database Designers to implement the physical data model. * Experience with Atlassian tools like Jira and Confluence.