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Senior Lead Data Engineer
Glasgow City
Full time
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 Engineering Platform and Integrated Experience 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 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, provides technical guidance and direction to facilitate ongoing evolution of application architecture.
- 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
- Develops secure and high-quality production code and reviews and debugs code written by others
- Drives data architecture decisions that impact product design, application functionality and technical operations and processes
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification in Data Analytics concepts and applied experience.
- 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