Your goal is to become a key player among other imaginative thinkers who share a common commitment to continuous improvement and meaningful impact. Don’t miss this chance to collaborate with brilliant minds and deliver premier solutions that set a new standard.

As a Senior Lead Data Architect at JPMorgan Chase within the Legal Technology Team, you will play a crucial role in developing top-notch data architecture solutions for a range of software applications using cutting-edge cloud technologies. Your responsibilities will include implementing vital data architecture solutions across numerous technical domains within different business functions to support project objectives.
 

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

Formal training or certification on software engineering concepts and 5+ years of applied experienceAdvanced 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.)Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark)knowledge of Data Governance , Data quality, and implementationPractical 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.Experience in data mesh and/or data lakeKnowledge in machine learning/AI with Python development a big plusPractical experience in graph and semantic technologies, e.g. RDF, LPG, Neo4j, Gremlin