Senior Lead Data Architect

• Represents a product family of technical governance bodies

• Develop and maintain enterprise data models, data flow diagrams, and data integration strategies.

• Establish and enforce data management policies, standards, and best practices. Oversee the design, implementation, and maintenance of databases (relational, graphdb, cloud-based).

• Provides feedback and proposes improvements to architecture governance practices

• Guides evaluation of current technology and leads evaluation of new technologies using existing standards and frameworks

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

• Develops secure and high-quality production code, and reviews and debugs code written by others

• Drives decisions that influence product 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 engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies

• Adds to team culture of diversity, opportunity, inclusion, and respect

• Formal training or certification on data modeling concepts and proficient advanced experience

• Strong knowledge of data modeling, database design, and data warehousing concepts and Proven experience as a Data Architect, Data Engineer, or similar role.

• Hands-on practical experience delivering system design, application development, testing, and operational stability

• Advanced in one or more programming language(s), applications, and architecture Advanced knowledge of software architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• Ability to tackle design and functionality problems independently with little to no oversight

• Practical cloud native experience

• Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture

• Adds to team culture of diversity, opportunity, inclusion, and respect Understanding of data governance, data quality, and metadata management.

Preferred Qualifications, Capabilities, and Skill

• Expertise in conceptual, logical, and physical data modeling for complex, large-scale systems.
• Proficiency with graph databases (e.g., TigerGraph, Amazon Neptune) and NoSQL solutions (e.g., MongoDB, Cassandra)
• Advanced skills in designing and implementing APIs, especially GraphQL and RESTful services for data access.
• Mastery of data integration, ETL/ELT processes, and real-time data streaming (e.g., Kafka, Apache NiFi).
• Strong background in data governance, data quality, metadata management, and regulatory compliance (GDPR, CCPA).
• Advanced proficiency in programming languages such as Python, or Java, for data engineering tasks.
• Awareness of trends in AI/ML, data mesh, data fabric, and modern data architectures.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.