Data Engineering Lead

Job description

Position Overview The Data Engineering Lead is responsible for designing and implementing modern, scalable data architectures to support migration of legacy, file-based analytical systems to AWS Cloud Native environments. This role leads the transformation of legacy SAS-based data storage models—including flat files, batch outputs, and subsystem-specific data artifacts—into structured, governed, and scalable data models optimized for cloud-native processing. The Data Engineering Lead will ensure data integrity, performance, and visibility across a system-of-systems modernization initiative, while providing technical leadership for data modeling, ingestion patterns, validation frameworks, and transparency reporting. Expert-level proficiency in Python and strong experience designing AWS-based data architectures are required. Key Responsibilities: Legacy Data Discovery & Data Model Transformation - Participate in structured system inventory efforts to document: - Legacy file-based storage structures - SAS dataset dependencies - Subsystem data flows - Manual gating and handoff processes - Analyze legacy storage models and design target-state data models aligned to AWS Cloud Native arch...