Evaluate current state architecture and recommend and implement changes with a focus on modernization of Data integration (ETL, ELT, API/ESB) and Data Virtualization solutions.
Combine business needs, vendor roadmaps and technology trends to develop Enterprise Data Management platforms and product roadmaps and future state architecture diagrams for the bank based on their roadmap.
Ability to mitigate issues related to data quality
In depth knowledge of data reconciliation, storage (capacity planning) , lineage using different tools
Provide technical and architectural guidance to projects, teams and service providers, ensuring that new initiatives enable effective and scalable data storage, data engineering and data analysis capabilities
Experience in migration of logical DWH from one stack to another.
Participate in architectural review boards, evaluations of data and analytics solutions/COTS products, and technologies
Research, recommend and pilot tools and process changes in order to drive quality and efficiency across the solution development lifecycle
Act as a thought leader on industry trends, emerging data management capabilities (such as enterprise data lake) and technologies (cloud platforms) and potential use for various existing and potential Customers.
Knowledge and experience in IBM stack will be preferred. Additional knowledge of other stacks like Teradata/SAP/Oracle stack etc will be nice to have.
Knowledge of reporting tools like IBM Cog-nos, Tableau, Power BIetc.