JPMorgan Data Architect III - Workforce Technology 

India, Telangana, Hyderabad 

238299734

Job responsibilities

• Executes data architecture solutions and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions and break down problems
• Collaborate with Data Product Managers to understand business requirements and translate them into data modeling specifications. Conduct interviews and workshops with stakeholders to gather detailed data requirements.
• Create and maintain data dictionaries, entity-relationship diagrams, and other documentation to support data models.
• 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

Required qualifications, capabilities, and skills

• Formal training or certification onData Architectand 3+ years applied experience
• Hands on experience in data platforms, cloud services (eg, AWS, Azure or Google Cloud) and big data technologies
• Strong understanding of database management systems, data warehousing, and ETL processes.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Knowledge of data governance principles and best practices.
• 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
• 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.)

• Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Certification in data modeling or data architecture.