Senior Lead Data Architect-Vice President
Senior Lead Data Architect-Vice President
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1 Vacancy
Job Description
Your goal is to become a key player among other imaginative thinkers who share a common commitment to continuous improvement and meaningful impact. Dont 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 topnotch data architecture solutions for a range of software applications using cuttingedge 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 highquality 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 functionwide 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 decisionmakers to consider the use and application of leadingedge 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 indepth 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 cloudbased 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
- Ability 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 plus
- Practical experience in modern data processing technologies e.g. Kafka streaming DBT Spark Airflow etc.
- Experience in data mesh and/or data lake
- Knowledge in machine learning/AI with Python development a big plus
- Practical experience in graph and semantic technologies e.g. RDF LPG Neo4j Gremlin
Required Experience:
Chief
Employment Type
Full-Time
