Lead Architect

JPMorgan Chase-posted 4 months ago

$152,000 - $215,000/Yr

Full-time

Palo Alto, CA

Credit Intermediation and Related Activities

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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.

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

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

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

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