Senior Lead Data Architect-Vice President

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 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

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years of applied experience


* 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.)


* 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 implementation


* 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


* 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


* Ab...