Senior Data Engineer

Design, develop, and implement innovative data technology solutions that support the business objectives. A pivotal role in translating business needs into robust and scalable data architectures.
Supporting our Chase-wide migration of data and consumers from legacy analytical data platforms to strategic data platforms
Guide evaluation of current technology and leads evaluation of new technologies using existing standards and frameworks
Python, Pyspark/Spark and AWS are mandatory skills
Regularly provide technical guidance and direction to support the business and its technical teams, contractors, and vendors
Work on proof-of-concepts for evolving data integration patterns closely working with the underlying platforms and frameworks groups. Identify new opportunities to improve data products and provide input and support to the business driving adoption.
Drives decisions that influence data product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of functional domain such as cards, operations, lending, etc.
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software?Development Life Cycle
Receiving Formal training on Data Architecture and AWS Cloud Experience
Develop and review architecture and design documentation while identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy and drive architecture governance process(es)