Your goal is to become a key player among other imaginative thinkers who share a common commitment to continuous improvement and meaningful impact. Don’t miss this chance to collaborate with brilliant minds and deliver premier solutions that set a new standard.
As a Lead Data Architect at JPMorganChase within the Infrastructure Platforms team, you are an integral part of a team that works to develop high-quality data architecture solutions for various software applications on modern cloud-based technologies. As a core technical contributor, you are responsible for carrying out critical data architecture solutions across multiple technical areas within various business functions in support of project goals.
Job responsibilities
- Engages technical teams and business stakeholders to discuss and propose data architecture approaches to meet current and future needs
- Defines the data architecture target state of their product and drives achievement of the strategy
- Implement processes and develop tools to enhance / automate data access, extraction, and analysis efficiency. 2
- Develop insights, methods, or tools using various analytic methods such as causal-model approaches, predictive modeling, regressions, machine learning, time series analysis, etc.
- Participates in data architecture governance bodies
- Evaluates recommendations and provides feedback for new technologies
- Executes creative data architecture solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions and break down technical problems
- Develops secure, high-quality production code and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Facilitates evaluation sessions with external vendors, startups, and internal teams to drive outcomes through probing of data architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads data architecture communities of practice to drive awareness and use of modern data architecture technologies
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced knowledge of architecture and one or more programming languagesProficiency in automation and continuous delivery methodsProficiency in all aspects of the Software Development Life CycleDemonstrated proficiency in software applications and technical processes within a technical discipline (., cloud, artificial intelligence, machine learning, mobile,In-depth knowledge of the financial services industry and their IT systemsPractical cloud native experienceAdvanced knowledge of one or more software, application, and architecture disciplinesAbility to evaluate current and emerging technologies to recommend the best data architecture solutions for the future state architecturePreferred qualifications, capabilities, and skills
Ability to initiate and implement ideas to solve business problemsPassion for learning new technologies and driving innovative solutions.