Senior Manager of Software Engineering - Data Engineering

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.