Senior Lead Data Architect - Risk Technology

JPMorgan Chase - Jersey City, NJ

Full-time - Senior

Jersey City, NJ

Credit Intermediation and Related Activities

About the position

As a Senior Lead Data Architect at JPMorgan Chase within the Corporate Technology in Risk technology team, you will play a crucial role in developing high-quality data architecture solutions for various software applications and platform products. This position involves driving significant business impact and shaping the global target state architecture through expertise in multiple data architecture domains.

Responsibilities

• Represent the data architecture team at technical governance bodies and provide feedback regarding proposed improvements regarding data architecture governance practices.
• Evaluate new and current technologies using existing data architecture standards and frameworks.
• Define and implement processes to drive application compliance in accordance with firms' data risk management policies and standards in areas such as data retention & destruction, data quality, and data localization.
• Partner with LOB/CF data architecture teams and Chief Data Office group to ensure alignment between data governance and the organization's data architecture strategy.
• Help develop and implement a data governance strategy aligned with the organization's goals and objectives.
• Define and track key performance indicators (KPIs) for data governance efforts and report progress to executive leadership.
• Lead the design and development of logical and physical data models, database structures, and data flows to support operational and analytical systems.
• Develop secure, high-quality production code and review and debug code written by others.
• Drive data architecture decisions that impact product design, application functionality, and technical operations and processes.
• Actively contribute to the engineering community as an advocate of firmwide data frameworks, tools, and practices in the Software Development Life Cycle.
• Influence peers and project decision-makers to consider the use and application of leading-edge technologies.
• Advise junior architects and technologists.

Requirements

• Formal training or certification on Data Architecture concepts and 5+ years applied experience.
• Strong hands-on practical experience delivering data architecture and solution architecture for data management, data governance, data engineering, and data operations.
• Ability to deliver several types of data models with multiple deployment targets, e.g., conceptual, logical, and physical data models deployed as operational vs. analytical data stores.
• Advanced in one or more data engineering disciplines, e.g., streaming, ETL, event processing.
• 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.).
• Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture.
• Effective communication skills with the ability to present complex data concepts to both technical and non-technical audiences.

Nice-to-haves

• Good Financial services experience, Risk & Compliance is a big plus.
• Experience of working in data governance function is a plus.
• Experience with data modeling and data cataloging tools.
• Experience in machine learning/AI with Python development is a big plus.
• Familiarity with data wrangling and dashboarding tools (e.g., Alteryx, Tableau).

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching