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 Corporate Technology, you are an integral part of a team dedicated to developing high-quality data architecture solutions for various software applications and platform products. Your expertise in multiple data architecture domains will promote significant business impact and help shape the global target state architecture.
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, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on Information Engineering concepts and 5+ years applied experience
Hands-on experience delivering system design, application development, testing, and operational stability
Advanced proficiency in data modeling, data governance, and data architecture within a finance organization
Demonstrated experience with Data Mesh and Databricks
Advanced proficiency in one or more programming languages, applications, and architecture
In-depth knowledge of architecture, applications, and technical processes in at least one technical discipline (such as cloud, artificial intelligence, machine learning, or mobile)
Ability to independently solve design and functionality problems with minimal oversight
Practical experience with cloud-native technologies
Ability to evaluate current and emerging technologies to recommend solutions for future state architecture
Commitment to fostering a culture of diversity, opportunity, inclusion, and respect
Preferred qualifications, capabilities, and skills
Past experience in Corporate Functions within a financial company
Experience creating or implementing organizational-level data standards
Experience defining taxonomy and ontology
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