Lead Data Engineer - Python, SQL - Team Lead - Vice President

Be an integral part of an agile team that's constantly pushing the envelope to innovate, build, enhance and deliver top-notch technology products.  

As a Lead Data Engineer at JPMorgan Chase within the GIB and a part of the Capital Markets Team you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.  

Job responsibilities 

• Lead a Squad of Data Engineers to meet business deliveries working with Product and Design leads. 
• Lead Agile ceremonies including standups, retros and technical refinements. 
• Self-starter able to take the initiative and shape their own path and a pragmatic and iterative approach to achieving our long-term goals 
• Accelerate team velocity to improve time to market for business solutions. 
• Provide frequent updates to senior stakeholders on progress of business deliveries. 
• Use domain modelling techniques to allow us to build best in class business products. 
• Structure software so that it is easy to understand, test and evolve. 
• Promptly investigate and fix issues and ensure they do not resurface in the future. 
• Own and deliver end-to-end, scalable, and secure solutions in the form of cloud-native microservice architecture applications, leveraging modern technologies and the best industry practices. 
• Investigate and fix issues promptly and ensure they do not resurface in the future. 
• Make sure our releases happen with zero downtime for our end-users. 

Required qualifications, capabilities, and skills 

• Formal training or certification on software engineering concepts and 3 years applied experience. 
• Good working knowledge of AWS, Databricks, and Python. 
• Experience across the data lifecycle. 
• Advanced at SQL, including joins and aggregations. 
• Working understanding of NoSQL databases. 
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis. 
• Knowledge of modern software architecture patterns. 
• Experience with a modern CI/CD platforms such Circle Ci/Jenkins. 
• Experience with modern version control platform such as GitHub/Bitbucket. 
• A desire to teach others and share knowledge. A team player mindset where you want you to coach other team members on coding practices, design principles, and implementation patterns. 
• Adjusts quickly to changing priorities and conditions. Copes effectively with complexity and change. Learns technologies and patterns quickly. Comfortable in uncharted waters. 

Preferred qualifications, capabilities, and skills 

• Familiarity with the Standardized data layer practises (Medallion architecture) 
• Exposure to Aurora Postgres and MongoDB 
• Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas.