What are the responsibilities and job description for the Principal Architect, Data Platform position at JPMorgan Chase?
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Principal Architect at JPMorgan Chase within the Enterprise Technology, AI/ML & Data Platforms organization, you will be tasked with enhancing and developing innovative, cloud-based architecture platforms. Your role will be crucial in promoting the execution of strategic global solutions throughout the firm. Your exceptional architecture abilities will be utilized in cooperation with colleagues across the organization, leading to superior outcomes.
Our team is dedicated to delivering comprehensive data management solutions that ensure J.P Morgan Chase's data is easily discoverable, comprehensible, observable, reliable, accessible, and interoperable for authorized personnel. This commitment promotes our BI and AI/ML initiatives, allowing us to operate with agility and speed. Our organization is composed of centers of excellence for various product domains, including Data Lake Services, Data Migrations Services, Unified Data Catalog and Controls, Entitlements Services, and Data Analytics & Business Intelligence services. These centers are instrumental in fostering digital transformation, cloud adoption, and AI/ML capabilities across the firm.
Job 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.
- Stay up-to-date with industry trends and emerging technologies in data mesh and cloud computing.
- Champion the firm’s culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on Data Architecture concepts and 10 years of applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Expertise in one or more programming language(s) preference Python and Java
- Expert level experience with AWS or other Public Cloud providers
- 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
- Influencer with a proven record of successfully driving change and transforming across organizational boundaries
- Ability to present and effectively communicate to Senior Leaders and Executives
