You strive to be an essential member of a diverse team of visionaries dedicated to making a lasting impact. Don’t pass up this opportunity to collaborate with some of the brightest minds in the field and deliver best-in-class solutions to the industry.

  As a Senior Lead Data Architect at JPMorgan Chase within the Enterprise Finance Technology, you are an integral part of a team that works to develop high-quality data architecture solutions for various software applications and platform products. Drive significant business impact and help shape the global target state architecture through your capabilities in multiple data architecture domains.

Job responsibilities

Represents the data architecture team at technical governance bodies and provides feedback regarding proposed improvements regarding data architecture governance practices Evaluates new and current technologies using existing data architecture standards and frameworks Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure, high-quality production code and reviews and debugs code written by others  Drives data architecture decisions that impact 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 data frameworks, tools, and practices in the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Advises junior architects and technologists Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Over 10 years of hands-on practical experience delivering data architecture and solution architecture for data management, data governance, data engineer and data operations Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming languages, applications, and architecture Advanced knowledge of architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture  Adds to team culture of diversity, equity, inclusion, and respect Preferred qualifications, capabilities, and skills Practical experience in modern data processing technologies, e.g., Kafka streaming, DBT, Spark, Airflow, etc.