MANAGER II DATA ENG

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Description: Job Overview Data architecture, modeling reuse Own the target data architecture and a governed medallion architecture (Bronze Silver Gold) on Databricks / Microsoft Fabric domains, entities, lineage, and access models that turn raw source data into AI-ready datasets. Design for breadth of sources: SAP S/4HANA, 80+ operational systems, Windchill (PLM), SharePoint, TEBIT (40K+ records), and OT / industrial edge data. Define reusable data models, taxonomies, and semantic structures with standards for metadata and business definitions and promote reuse of shared data products across functions and regions. MCP enterprise integration Build and operate the central MCP layer the API for AI so authentication, security, chunking, and format handling are solved once, centrally, not re-solved per solution. Define a prioritized MCP connector roadmap (SAP, Windchill, MES) aligned to value-stream demand, delivering the seven Context 360 types (Role, Process, Asset, Policy, Problem, Objective, Glossary) to agents. Data availability AI enablement Enable priority AI use cases across the value streams by improving the availability, accessibility, and readiness of critical datasets with OneData, TEIS, and business teams. Remove data bottlenecks (fragmentation, inconsistent structures, poor quality, unclear ownership) so AI teams get the right data at the right quality and governance. What your background should look like: 10+ years in data architecture, data engineering, data platform, or enterprise integration, with 3+ years leading technical teams. Proven delivery of a lakehouse / medallion platform on Databricks and/or Microsoft Fabric. Enterprise data architecture and information modeling domains, master/reference data, metadata, taxonomies, and reusable models. Hands-on integration of enterprise systems (SAP, Windchill/PLM, MES, content stores) with strong data governance, lineage, and access control. Working knowledge of AI/GenAI data needs (RAG, vector indexing/embeddings) and stakeholder management in a matrix organization. Competencies Values: Integrity, Accountability, Inclusion, Innovation, Teamwork SET : Strategy, Execution, Talent (for managers) ABOUT TE CONNECTIVITY TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.