JPMorgan Chase is looking to develop game-changing, high-quality solutions in financial services, specifically in the areas of data management, cloud-based architecture, and AI/ML initiatives.
Requirements
- Formal training or certification on Data Architecture concepts and 5+ years of applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s), applications, and architecture
- Advanced knowledge of Data architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Expert level with Databricks, Snowflake, Starburst, Trino, AWS Database & Analytics
- Hands on experience in working on BI and AI/ML solutions with business stakeholders and data scientists
- Ability to tackle design and functionality problems independently with little to no oversight
Responsibilities
- Design and implement a data mesh architecture that decentralizes data ownership and management across domain teams.
- Develop and maintain data architecture standards, including data product interfaces, data contracts, and governance frameworks.
- Collaborate with domain teams to understand their data needs and provide guidance on best practices for data product development.
- Leverage AWS services (e.g., AWS Glue, Redshift, S3, Lambda) to build scalable and secure data solutions.
- Implement data governance and security measures to ensure data quality and compliance with industry standards.
- Monitor and optimize the performance and scalability of data products and infrastructure.
- Provide training and support to domain teams on data mesh principles and AWS technologies.
Other
- Champion the firm’s culture of diversity, equity, inclusion, and respect
- Excellent communication and presentation skills (preferred)
- Prior Fin-tech experience preferred
- Strong team player (preferred)
- Bachelor's degree or higher (implied, but not explicitly stated)
