This role will also work closely with the rest of the Enterprise Data & Analytics Engineering & Architecture team Ability to conduct technical training sessions for technical and business users.Advanced level expertise in building high performance data and analytical products.Design reusable frameworks for data engineering and establish architecture patterns for data engineering across traditional and big-data solutions, based on insights gained during current state data assessments.Identify and remediate gaps in technical and business metadata, improve usability of Enterprise data assets. Conduct analysis for metadata availability and completeness for applications along the data pathway (data lineage).Develop a comprehensive understanding of data lineage and usage patterns from external vendors through internal systems or origin (SOO), systems of record (SOR), operational data platforms, Authorized Provisioning Points (APP) and reporting & analytics.Conduct deep analysis of data movement across multiple and diverse data platforms, including big data (Hadoop, Spark), NoSQL (MongoDB), traditional RDBMS (Oracle, SQL Server, Teradata, etc.) and mainframe (VSAM).Contribute to and implement Data Strategy for private and public cloud.Lead and perform current state data assessments and contribute to future state vision.Proven hands-on development expertise in Data warehousing ETL stack and Big Data technology stack including Hadoop, Hive, Python, Java/Scala, SPARK, Tableau, AtScale etc.This role will partner with senior data architects and strategists to define and implement tactical and strategic architectures, platforms, and frameworks based on insights gained through deep analysis.

The Senior Lead Analytics Consultant role will analyze data flows, metadata, and data lineage across Consumer & Small Business Banking and Lending (CSBBL) data domains and sub-domains.

Youtube data viewer