As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Sector's Data and Analytics Services 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

Driving some of the key tech initiatives and will evaluate tooling and design options to build enterprise grade platform capabilities as part of a data engineering team. Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years of applied experience Extensive experience with design and architecture background to build large distributed data applications. Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) – Python/PySpark (preferred), Scala , or Java Strong and significant experience working with modern data technologies and must have strong SQL skills. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical and hands-on cloud experience – AWS (preferred) Domain experience with data governance tools such as data entitlement, catalog , data quality and lineage  Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

Experience with databricks and data lakehouse  AWS Solution Architect certification   Databricks Solution Architect certification