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 Lead Data Architect at JPMorgan Chase within the Consumer and Community Banking Data Technology, you are an integral part of a team that works to develop high-quality data architecture solutions for various software applications, platform and data 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  Design secure, high-quality, scalable solutions and reviews architecture solutions designed by others   Drives data architecture decisions that impact data product & platform 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 data 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  Advanced knowledge of architecture, applications, and technical processes with considerable in-depth knowledge in data architecture discipline and solutions (e.g., data modeling, native cloud data services, business intelligence, artificial intelligence, machine learning, data domain driven design, etc.)  Advanced in one or more data engineering disciplines, e.g. streaming, ELT, event processing  Ability to tackle design and functionality problems independently with little to no oversight  Practical SQL development experiences in cloud native relational databases, e.g. Snowflake, Athena, Postgres  Ability to deliver various types of data models with multiple deployment targets, e.g. conceptual, logical and physical data models deployed as an operational vs. analytical data stores  Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state data architecture   Adds to team culture of diversity, equity, inclusion, and respect 

Preferred qualifications, capabilities, and skills 

5+ Financial services experience, card and banking a big plus  Practical experience in modern data processing technologies, e.g., Kafka streaming, DBT, Spark, Airflow, etc.  Practical experience in data mesh and/or data lake  Practical experience in machine learning/AI with Python development a big plus  Practical experience in graph and semantic technologies, e.g. RDF, LPG, Neo4j, Gremlin  Knowledge of architecture assessments frameworks, e.g. Architecture Trade off Analysis