We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking in Data Technology,, 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

Responsible for all aspects of data strategy, governance, data risk management, reporting and analytics.  Manage risk associated with data use, data retention / destruction and data privacy.  Work with product owners, data owners and customers to evaluate data requirements and identify right technology solutions and implementation.  Design, develop, code, test, debug and deploy applications for scalable and extensible applications. Produce high quality code utilizing Test Driven Development techniques. Participate in retrospectives to drive continuous improvement within the feature team. Participating in code reviews and ensuring that all solutions are aligned to pre-defined architectural specifications.  Implement Automation: Continuous Integration and Continuous Delivery.  Manage Cloud Development and Deployment: Support development and deployment of applications into Private and Public clouds.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 10+ years applied experience. Advanced knowledge of architecture, design and business processes Full Software Development Life Cycle experience within an Agile framework Expert-level implementation skills with Java, AWS, Database technologies, Python, Scala, Spark, Ab Initio.  Experience with the development and decomposition of complex SQL (RDMS Platforms) Experience with Data Warehousing concepts (including Star Schema)  Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence. Familiar with relevant technological solutions and industry best practices Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption) Familiar with multiple Data & Analytics technology stacks Aware of various Data & Analytics tools and techniques (e.g. Python, data mining, predictive analytics, machine learning, data modelling, etc.) Experience with one or more leading cloud providers (AWS/Azure/GCP) Preferred qualifications, capabilities, and skills Ability to work fast and quickly ramp up on new technologies and strategies. Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals.  Appreciation of Controls and Compliance processes for applications and data.   In depth understanding of data technologies and solutions is preferable.  Drive Process improvements and implement process changes as necessary. Knowledge of industry-wide Big Data technology trends and best practices