Embrace this pivotal role as an essential member of a high performing team dedicated to reaching new heights in data engineering. Your contributions will be instrumental in shaping the future of one of the world’s largest and most influential companies.

 As a Senior Lead Data Engineer at JPMorgan Chase within the Corporate Sector - Product Agility team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics in a secure, stable, and scalable way. Leverage your deep technical expertise and problem solving capabilities to drive significant business impact and tackle a diverse array of challenges that span multiple data pipelines, data architectures, and other data consumers.

 

Job responsibilities

Provides recommendations and insight on data management, governance procedures, and intricacies applicable to the acquisition, maintenance, validation, and utilization of data Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable wayDefines database back-up, recovery, and archiving strategy Generates advanced data models for one or more teams using firm wide tooling, linear algebra, statistics, and geometrical algorithmsApproves data analysis tools and processes​Creates functional and technical documentation supporting best practices​​Advises junior engineers and technologistsEvaluates and reports on access control processes to determine effectiveness of data asset security​Adds to team culture of diversity, equity, inclusion, and respect

 

Required qualifications, capabilities, and skills

Formal training or certification on data engineering concepts and 5+ years applied experience.Extensive working experience with both relational and NoSQL databases​Advanced understanding of database back-up, recovery, and archiving strategiesExtensive experience working with Tableau, SharePoint, Alteryx, WordPress and HTMLDemonstrated experience in crafting and deploying holistic technical solutions that align with business goals and tackle specific organizational challengesAdvanced knowledge of linear algebra, statistics, and geometrical algorithmsProficient in creating and deploying data models and data architectureConfident in presenting and delivering visual data to senior leadershipDemonstrate outstanding leadership skills and a proactive approach Preferred qualifications, capabilities, and skillsProven leadership skills with the ability to lead and mentor a team of data engineersStrong collaboration skills to work effectively with cross-functional teams and business stakeholdersExperience with big data technologies and tools for data storage, processing, and analysis