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 Senior Manager of Software Engineering at JPMorgan Chase within the Global Banking's Technology Team, you'll serve as a seasoned member of an agile team to design and deliver trusted market-leading Data Engineering Solutions and Data products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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 cloud data 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 software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise   15+ years applied experience in Data Engineering space using enterprise tools, home grown frameworks and 3-5+ years of specialty in Databricks implementation from start to end. Experience with multiple cloud platforms such as AWS, Azure, Google Cloud, Databricks, and Snowflake. Experience as a Databricks solution architect or AD lead 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 leadership 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. Deep understanding of Apache Spark, Delta Lake, DLT and other big data technologies Certification in Databricks data engineer associate/professional

Preferred qualifications, capabilities, and skills:

Experience in Snowflake is preferred Experience with Kinesis, Flink is preferred Experience with AI/ML is preferred. Experience of working in a development teams, using agile techniques and Object Oriented development and scripting languages, is preferred.