Jobs · Engineering · North Carolina

CPG Tech Lead Software Engineer S/4 HANA BDC and SAC

Wells Fargo · Charlotte, NC · 1 mo ago
EngineeringFull-time

About the role

Wells Fargo is seeking a Lead Specialty Software Engineer with expertise in SAP Business Data Cloud (BDC), and SAP Analytics Cloud (SAC) to join the Chief Administrative Office (CAO) Technology team within COO Technology, supporting the Corporate Properties Group (CPG). This role is ideal for a hands-on SAP data and analytics professional who is passionate about designing, developing, and optimizing enterprise data integration, warehousing, reporting, and analytics solutions. The successful candidate will help deliver trusted data products and modern analytics capabilities that enable strategic decision-making across the organization. As part of a multi-year SAP transformation initiative, this individual will play a key role in modernizing Wells Fargo's data landscape by helping drive the migration from SAP ECC and legacy BW environments to SAP S/4HANA, SAP Business Data Cloud, and modern cloud analytics platforms. The role requires strong expertise in SAP data modeling, integration, reporting, planning, and cloud-based analytics, along with the ability to collaborate closely with business stakeholders, architects, and engineering teams to deliver scalable, business-focused solutions.

Job Posting Locations: 300 S Brevard St., CHARLOTTE, North Carolina 28202. Posting End Date: 1 Oct 2026.

Responsibilities

  • Support the following SAP data and analytics platforms: SAP Business Data Cloud (BDC) – Lead the design, development, and implementation of SAP Business Data Cloud (BDC) solutions that enable enterprise analytics, reporting, and data-driven decision making. Build and manage scalable data products, integration pipelines, and semantic models within the BDC ecosystem. Integrate SAP and non-SAP data sources to create a unified, business-ready data foundation. Optimize data ingestion, transformation, governance, and performance to ensure reliable and efficient data operations. Partner with business and technology stakeholders to define data architecture, analytics strategies, and solution roadmaps.

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