As a Principal Data Architect at JPMorgan Chase within the Consumer and Community Banking, you will provide expertise to enhance and develop data architecture platforms based on modern cloud-based technologies as well as support the adoption of strategic global solutions. You will leverage your advanced data architecture capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes to achieve the target state architecture goals.
Job responsibilities
- Advises cross-functional teams on data architecture solutions to achieve the target state architecture and improve current technologies.
- Lead the design, implementation, and maintenance of scalable, high-performance data architectures, including data lakes, data warehouses, and data integration solutions.
- Collaborate with cross-functional teams, including IT, business units, and analytics teams, to ensure data architecture supports business needs and enables data-driven decision-making.
- Drive the adoption of emerging data technologies and methodologies to enhance data capabilities and improve efficiency
- Develops multi-year roadmaps aligned with business and data architecture strategy and priorities
- Creates complex and scalable data frameworks using appropriate software design
- Reviews and debugs code written by others to deliver secure, high-quality production code
- Serves as the function’s go-to subject matter expert
- Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
- Creates durable, reusable data frameworks using new technology to meet the needs of the business
- Champions the firm’s culture of diversity, equity, inclusion, and respect. Mentors and coaches junior architects and technologists
Required qualifications, capabilities, and skills
- Formal training or certification on data management concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Expert in one or more architecture disciplines and programming languages
- Deep knowledge of data architecture, best practices, and industry trends
- Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
- Advanced knowledge of application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Experience applying expertise and new methods to determine solutions for complex architecture problems in one or more technical disciplines
- Ability to present and effectively communicate with Senior Leaders and Executives