JPMorgan Software Engineer III - Data Modeler / Governance 

United States, Texas, Plano 

489284611

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software 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 software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect
• Implement and maintain firm-wide data governance standards and develop and enforce data governance policies, procedures, and best practices
• Design and develop logical, conceptual, and physical data models to support business requirements
• Collaborate with business analysts, product owners, data source teams and application development teams to understand data needs and ensure data models meet those needs.
• Stay up-to-date with industry trends and best practices in data modeling and data governance.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering, data modeling and data governance concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages, such as Java
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, 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.)
• Advanced proficiency in SQL (e.g., joins and aggregations).
• Working understanding relational and NoSQL databases(e.g., Cassandra, Oracle )
• Proficiency in data modeling tools (e.g., Erwin) and basic understanding of Kafka / Avro .
• Experience with data governance frameworks and tools (e.g., Collibra )

Preferred qualifications, capabilities, and skills

• Experience in financial institutions or banking is preferred but not required.
• Knowledge of data privacy regulations (e.g., GDPR, CCPA)
• Experience with cloud-based data platforms (e.g., AWS)
• Knowledge of data quality principles and data cleansing techniques.