Job
Description
As a Director of Data Engineering at JPMorgan Chase within the International Consumer Bank you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Our Data Engineering team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. Were looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and initiatives - and depending on your strengths and interests, youll have the opportunity to move between them. Job responsibilities Obtain formal training or certification on Data Engineering concepts and apply expert experience. Leads data engineering teams to achieve functional technology objectives Makes strategic decisions that influence teams resources, budget, tactical operations, and the 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 data pipeline and architecture solutions that can be leveraged across multiple businesses Influences peer leaders and senior stakeholders across the business, product, and data technology teams Champions the firm s culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on Data Engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise Advanced experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise. Experience developing and leading cross-functional teams of technologists Experience dealing with internet scale volume, velocity and size of data Experience hiring, developing, and recognizing talent Experience in Data streaming and messaging frameworks (e.g. Kafka, Spark Structured Streaming) Experience in Big Data technologies handling complex data processing requirements Experience building data pipelines and platforms on AWS
