JPMorgan Senior Lead Data Engineer 

United States, Texas, Plano 

781589684

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 way
• Defines 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 algorithms
• Approves data analysis tools and processes​
• Creates functional and technical documentation supporting best practices​​
• Advises junior engineers and technologists
• Evaluates 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
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience required
• Extensive working experience with both relational and NoSQL databases​
• Advanced understanding of database back-up, recovery, and archiving strategies
• Extensive experience working with Tableau, SharePoint, Alteryx, WordPress and HTML
• Demonstrated experience in crafting and deploying holistic technical solutions that align with business goals and tackle specific organizational challenges
• Advanced knowledge of linear algebra, statistics, and geometrical algorithms
• Proficient in creating and deploying data models and data architecture
• Confident in presenting and delivering visual data to senior leadership
• Demonstrate outstanding leadership skills and a proactive approach

• Proven leadership skills with the ability to lead and mentor a team of data engineers
• Strong collaboration skills to work effectively with cross-functional teams and business stakeholders
• Experience with big data technologies and tools for data storage, processing, and analysis