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 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 practicesEvaluates new and current technologies using existing data architecture standards and frameworksRegularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendorsDesign 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 processesServes 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 CycleInfluences peers and project decision-makers to consider the use and application of leading-edge technologiesAdvises junior architects and technologists

Required qualifications, capabilities, and skills

7+ years of hands-on practical experience delivering data architecture and system designs, data engineer, testing, and operational stabilityAdvanced 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.)Practical cloud based data architecture and deployment experience in AWSPractical SQL development experiences in cloud native relational databases, e.g. Snowflake, Athena, PostgresAbility 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 storesAdvanced in one or more data engineering disciplines, e.g. streaming, ELT, event processingAbility to tackle design and functionality problems independently with little to no oversightAbility to evaluate current and emerging technologies to select or recommend the best solutions for the future state data architecture

Preferred qualifications, capabilities, and skills

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