JPMorgan Senior Lead Data Architect - Risk Technology 

United States, New Jersey, Jersey City 

47065934

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
• Define and implement process 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
• Develops secure, high-quality production code and reviews and debugs code written by others. Drives data architecture decisions that impact product design, application functionality, and technical operations and processes
• Contributes to the 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

Required qualifications, capabilities, and skills

• 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 engineer 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 an 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.
• Adds to team culture of diversity, equity, inclusion, and respect.

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