What are the responsibilities and job description for the Senior Lead Data Engineer [Databricks, Spark, AWS] position at JPMorgan Chase?
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 Technology, 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 way
- Defines database back-up, recovery, and archiving strategy
- Generates advanced data models for one or more teams using firmwide 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
- Experience in dealing with Data Engineering skills
- Proven experience in Databricks, Spark and AWS
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s) i.e. Python or Java
- Experience in Computer Science, Computer Engineering, or a related technical field
- Working experience with both relational and NoSQL databases
- Advanced understanding of database back-up, recovery, and archiving strategies
- Advanced knowledge of linear algebra, statistics, and geometrical algorithms
- Experience presenting and delivering visual data
Preferred qualifications, capabilities, and skills
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical audiences.
- Experience with version control systems like Git and CI/CD pipelines for data engineering workflows.
