Data and Solutions Engineer

An expert professional that works independently and can assist other professionals. This position works with teams across EACX (Enterprise Analytics and Customer Experience) to help migrate analytics use cases to cloud. The role will be providing expertise and consultation on cloud tools, solutions, best practices and patterns that can be used for each situation and help with governance of the cloud solutions. This position will be consulting with users to help build solutions that use Python, SQL, Databricks, Snowflake, Azure Synapse, Azure Data Factory, ETL/ ELT and Azure ML. The current use cases are on prem and need to migrate include data mining, data auditing, aggregation, validation and reconciliation and use tools like SAS, Alteryx, Power Bi. In addition to familiarity with the tools and understanding of the workflows in Marketing departments as well as a deep understanding of Banking data will be helpful to be successful in this role. This position typically requires an individual with a degree and 5+ years of statistics or analytics experience. The person in this role will spend about 70% of their time collaborating with teams across EACX and developing a deep understanding of their data and business needs to support their migration efforts to the cloud as well as clearing roadblocks or assisting with development of best practices and preferred patterns to ensure project success. About 30% of the time would be in development and monitoring of governance/ data quality efforts to ensure success in the shared cloud environments. This role will also play an active role with data engineers, analysts, and business line product owners in the business line ensuring the critical data is available and reliable in the proper platforms with clear SLAs.