Director of Software Engineering - Data Product Engineering

JPMorgan Chase & Co.•Jersey City, NJ

10h

About The Position

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 Engineering at JPMorganChase within the Corporate Data and Analytics Services team, you will lead a technical area and drive impact, working closely with multiple Engineering teams, technologies, and projects across departments. You should be able to utilize in-depth knowledge of software, applications, architecture, technical processes, and product management and banking domain expertise to drive and deliver multiple complex programs and initiatives, while serving as a primary decision maker and be a driver of innovation and solution delivery.

Requirements

Formal training or certification on software engineering concepts and 15+ 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 working with feature teams of software engineers, Product owners, Agility leads 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
Good understanding of AI tooling
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
Strong expertise in building big Data applications using PySpak, EKS, Databricks, S3, Iceberg and other allied technologies.
Strong Communication skills and ability to articulate
Experience in data technologies handling complex data processing requirements, including data streaming and messaging frameworks (e.g., Kafka, Spark Structured Streaming), as well as development experience on private and public cloud platforms (using EC2, S3, RDS, Lambda, EKS, Step Functions, Glue), ETLs, and data pipelines.

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