What are the responsibilities and job description for the Senior Principal Architect: Enterprise Data position at JPMorgan Chase?
You’re a pro who wants to influence the future of technical architecture and our team is looking for people like you.
As a Senior Principal Architect at JPMorgan Chase within the Global Technology Enterprise Architecture team, you provide specialized expertise to influence the target state architecture and strategy. Work across teams to implement and advance the adoption of complex strategic global solutions that give JPMorgan Chase a competitive advantage. You will be a key part of a team shaping the Firms data development lifecycle, working across varied stakeholders with their own local interests to understand constraints, negotiate target states, and ensure they are clearly communicated to decision makers.
Job responsibilities
- Advises and leads on strategy and development of multiple products, applications, and technologies across a portfolio
- Translates highly complex technical issues, trends, and approaches to leadership to drive the firm’s innovation and enable leaders to make strategic, well-informed decisions about target state architecture
- Drives adoption and implementation of technical methods in specialized fields in line with the latest product development methodologies
- Formalizes and negotiates the stages of the data development lifecycle, including capture of requirements, definition standards, acquisition, persistence, transmission, consumption, destruction, reconciliation and reuse
- Interprets business strategy and plans to enable integration with a target state architecture;
- Translate highly complex technical issues, trends, and approaches to enable strategic, well-informed decisions by leadership
- Builds a shared understanding of risk, options, and solutions with product and SWE leads
- Establishes and leads an architecture governance body
- Establishes standards, guidelines, and support governance to drive outcomes
- Creates durable, reusable software frameworks that improves velocity and quality of output across teams and functions
- Formal training or certification on software engineering concepts and 10 years applied experience
- Practical experience delivering system design, application development, testing, and operational stability
- Experience building and operating a multi-consumer data sharing system (e.g messaging system, financial exchange, collaboration platform)
- Experience working with ontologies (e.g., DCAT, DPROD, etc.), along with a strong understanding of general ontology concepts such as classes, properties, relationships, and reasoning.
- Familiarity with data governance and data quality frameworks.
- Exposure to AI/ML data pipelines and advanced analytics platforms.
- Expertise in one or more programming language(s), applications, and architecture disciplines
- Demonstrated prior experience influencing across functions and teams to deliver modern architecture
- Experience applying expertise and new methods to determine solutions for complex architecture problems across various technical disciplines
- Extensive practical cloud native experience
- Ability to evaluate current and emerging technologies to recommend the best technology solutions and approaches to achieve the future state architecture
- Knowledge of data privacy, security, and compliance requirements (e.g., GDPR, PCI, HIPPA)
- Experience training/teaching
- Published author
- Familiarity with corporate banking, payments, treasury, and risk management systems
- Experience architecting solutions with machine learning, artificial intelligence, and data science platforms
- Good to have certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, TOGAF)