Data Architect III

Be a part of a dynamic team and excel in an environment that values diversity and creativity. Continue to sharpen your skills and ambition while pushing the industry forward.

As a Data Architect at JPMorgan Chase within the Consumer and community banking technology team, you serve as a seasoned member of a team to develop high-quality data architecture solutions for various software applications and platforms. By incorporating leading best practices and collaborating with teams of architects, you are an integral part of carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives.

• Executes data architecture solutions and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions and break down problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces data architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Evaluates data architecture designs and provides feedback on recommendations
• Represents their team in architectural governance bodies
• Leads the data architecture team in evaluating new technologies to modernize the architecture using existing data standards and framework
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of data frameworks, applications, and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to data architecture communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Strong knowledge of one or more software applications and data architecture development
• Ability to evaluate current technologies to recommend ways to optimize data architecture
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficiency in coding in one or more languages
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as continuous integration and delivery, application resiliency, and security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Strong hands-on experience in Data modeling, Data Warehousing
• Experience on SQL, PLSQL