SAP/ERP Transformation - Principal Data Engineer

Senior technical authority who designs reference architectures and reusable patterns for data ingestion, transformation, storage, and delivery-embedding ...

Responsibilities

Guide solution decisions for complex programs; run technical reviews and threat/quality modeling to ensure robust outcomes; Design reusable patterns for batch and streaming ingestion, transformations, and data product delivery, optimizing for performance and scale; Document standards, playbooks, and reusable components to reduce rework and improve consistency across teams; Establish automated data-quality controls, reconciliation checks, lineage, audit evidence, monitoring, and exception-management processes; Integrate and optimize cloud services and container orchestration where relevant to improve scalability and reduce operational toil; Plan and support conversion rehearsals, mock loads, cutover execution, rollback and reprocessing procedures, post-load validation, and root-cause remediation; Harden security and privacy controls (access, encryption, masking) across platforms and pipelines; Build automation for quality, lineage, and governance checks integrated into CI/CD, including deployment scripts and pipeline templates; Coach teams on data modeling, performance optimization, and design thinking for data consumer experience; Work with data analysts, SAP functional teams, and business data owners to translate data-object requirements, mappings, and transformation rules; Lead end-to-end SAP data conversion across extraction, profiling, cleansing, mapping, harmonization, transformation, validation, reconciliation, and load; Create and evolve internal tooling, developer platforms, and golden paths that improve reliability and time-to-delivery for data teams

Requirements

10+ years in data engineering with large scale systems; Demonstrated experience leading complex SAP data conversion and migration workstreams across master data; Advanced hands-on expertise with SAP BusinessObjects Data Services (BODS), including job design, workflows, data stores, transformations, debugging, performance tuning; Strong automation/scripting skills and version control practices; Excellent cross team communication and influence; Proven ability to collaborate with analysts; Strong SQL, relational database, data mapping, profiling, reconciliation, ETL pipeline development, data quality, stewardship, governance, lineage, and audit-control skills; Bachelor's degree or equivalent years of work experience; Proficiency in distributed data processing, orchestration, and storage patterns; Applicants must be currently authorized to work in the United States on a full-time basis