You’re a pro who wants to influence the future of technical architecture and our team is looking for people like you. 

As a Senior Principal Architect at JPMorgan Chase within the Data Platform Engineering Team, you provide specialized expertise to influence the target state architecture and strategy. Work across teams to implement and advance the adoption of complex strategic global solutions that give JPMorgan Chase a competitive advantage.

Job responsibilities

Design and implement scalable data architectures using Databricks at an enterprise-scale. Design and implement Databricks integration and interoperability with other cloud providers such as AWS, Azure, GCP, Snowflake, Immuta, and OpenAI. Collaborate with data scientists, analysts and business stakeholders to understand requirements and deliver solutions. Develop and maintain data architecture standards, including data product interfaces, data contracts, and governance frameworks. Implement data governance and security measures to ensure data quality and compliance with industry and regulatory 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.  Required qualifications, capabilities, and skills Formal training or certification on data engineering concepts and 10+ years applied experience Experience with multiple cloud platforms such as AWS, Azure, Google Cloud, Databricks, and Snowflake. Experience as a Data Management Architect or similar role in an enterprise environment. Hands-on practical experience delivering system design, application development, testing, and operational stability Influencer with a proven record of successfully driving change and transforming across organizational boundaries Strong communication skills, with the ability to present and effectively communicate to Senior Leaders and Executives. Experience with data governance, security, and industry and regulatory compliance best practices. Preferred qualifications, capabilities, and skills Deep understanding of Apache Spark, Delta Lake, and other big data technologies Proficiency in programming languages such as Python, Scala, and SQL for data processing and analysis.