JPMorgan Chase & Co.
Director of Software Engineering - Data and Analytics Services
JPMorgan Chase & Co., Houston, Texas, United States, 77246
If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you.
As a Director of Software Engineeringat JPMorganChase within the the Corporate Data and Analytics Services team, you will lead a technical area and drive impact within teams, technologies, and cushion across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.
Job responsibilities
Leads technology and process implementations to achieve functional technology objectives Makes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations Delivers technical solutions that can be leveraged across multiple businesses and domains Influences peer leaders and senior stakeholders across the business, product, and technology teams Champions the firm’s culture of diversity, opportunity, inclusion, and respect Establishes architecture, execution strategy and plans Sets the overall guidance and expectations for team output, practices, and collaboration Provides guidance to immediate team of software engineers on daily tasks and activities Anticipates dependencies with other teams to deliver products and applications in line with business requirements Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization. Experience leading large feature teams of software engineers to deliver intensive data driven applications In-depth knowledge and experience in Java and/or Python, with a strong understanding of scripting, automation, and data analysis Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud, including deployment and management of cloud-based applications Expertise in data platform technologies, particularly with tools like •
Databricks, for data processing and analytics
Proficient in all aspects of the Software Development Life Cycle and advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Strong expertise in building RESTful micro‑services using Spring Boot applications Experience in Data technologies handling complex data processing requirements-Data streaming and messaging frameworks (e.g. Kafka, Spark Structured Streaming) Experience building data pipelines and platforms on AWS Development experience on private cloud, public cloud (using EC2, S3, RDS, Lambda,EMR, Step functions, Glue), ETLs and Data Pipeline Preferred qualifications, capabilities, and skills
Experience working at code level Experience working with large datasets, data warehouses and data modelling
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Leads technology and process implementations to achieve functional technology objectives Makes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations Delivers technical solutions that can be leveraged across multiple businesses and domains Influences peer leaders and senior stakeholders across the business, product, and technology teams Champions the firm’s culture of diversity, opportunity, inclusion, and respect Establishes architecture, execution strategy and plans Sets the overall guidance and expectations for team output, practices, and collaboration Provides guidance to immediate team of software engineers on daily tasks and activities Anticipates dependencies with other teams to deliver products and applications in line with business requirements Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ year of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise and more broadly across the organization. Experience leading large feature teams of software engineers to deliver intensive data driven applications In-depth knowledge and experience in Java and/or Python, with a strong understanding of scripting, automation, and data analysis Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud, including deployment and management of cloud-based applications Expertise in data platform technologies, particularly with tools like •
Databricks, for data processing and analytics
Proficient in all aspects of the Software Development Life Cycle and advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Strong expertise in building RESTful micro‑services using Spring Boot applications Experience in Data technologies handling complex data processing requirements-Data streaming and messaging frameworks (e.g. Kafka, Spark Structured Streaming) Experience building data pipelines and platforms on AWS Development experience on private cloud, public cloud (using EC2, S3, RDS, Lambda,EMR, Step functions, Glue), ETLs and Data Pipeline Preferred qualifications, capabilities, and skills
Experience working at code level Experience working with large datasets, data warehouses and data modelling
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