This position requires any amount of experience with the following: Coordinating end-to-end data flows and processing workflows including across mainframe systems, distributed Linux environments, batch systems, and enterprise ETL tools; Defining technical requirements related to system dependencies, data lineage, reconciliation, operational failure handling, batch sequencing, and data validation; Querying using SQL and Large Language Models for analysis, summarization, and insight generation; Assisting with backlog prioritization and status tracking such as epics, stories, or work sequencing to ensure reliable platform execution; Translating batch execution behavior, dependency management, performance tuning, operational reliability, and integration into requirements and roadmaps using enterprise ETL platforms such as Ab Initio; Supporting hybrid cloud data environments including AWS migration and integration for storage, processing, governing access; Coordinating intake assessment, discovery, risk identification, and regulatory and compliance readiness; Documenting, prioritizing, and sequencing functional and non-functional requirements including performance, scalability, reliability, recoverability, and data integrity, while identifying and escalating risks and issues; Supporting and owning internally consumed enterprise platforms including monitoring platform backlog health and driving product development lifecycle activities including discovery, requirements refinement, and testing coordination such as UAT or Beta; Measuring success by platform stability, data correctness, operational reliability, minimization of production incidents, and end-to-end business readiness. Skills Required: This position requires three (3) years of experience with the following: Supporting enterprise data or middleware platforms including defining requirements, prioritizing capabilities, and delivering internal platform enhancements used by technology teams.