Senior / Lead Data Engineer

About TE

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 Overview

We are looking for a Senior / Lead Data Engineer with 7+ years of experience to design and drive end-to-end Supply Chain data products using Databricks, SAP, AI/ML, and Agentic AI technologies. This role requires strong technical leadership, stakeholder management, and ownership of data products across Purchasing, Inventory, Production Planning, and Logistics

Responsibilities

• Partner with Data Engineering and Business leaders to define product vision, roadmap, and priorities.
• Own end-to-end design and delivery of scalable ELT pipelines and data models in Databricks using Delta Lake and dbt.
• Lead SAP data integration across MM, IM, PP, and Logistics, ensuring data consistency and business alignment.
• Define and standardize Supply Chain KPIs and analytics frameworks.
• Deliver advanced insights to improve forecasting accuracy, inventory optimization, supplier performance, and logistics efficiency.
• Design and enable ML and Agentic AI solutions, including automated agents for procurement classification, lead-time prediction, exception handling, and workflow orchestration.
• Guide teams on MLflow, Feature Store usage, and production monitoring.
• Ensure strong data governance, quality, security, and controlled releases across environments.
• Mentor junior engineers and act as a technical escalation point.

Candidate Desired Profile

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or Supply Chain-related field.
• 7+ years of experience in Data Engineering / Analytics roles.
• Deep expertise in Databricks, SQL, Python, dbt, Delta Lake.
• Strong hands-on experience with SAP (MM, IM, PP, Logistics) and Supply Chain processes.
• Experience leading or owning data products end-to-end.
• Strong stakeholder and cross-functional leadership skills.

Preferred

• Experience with MLflow, Feature Stores, and production ML pipelines.
• Hands-on exposure to Agentic AI, GenAI, RAG, or automation frameworks.
• Experience in forecasting, optimization, or advanced analytics.
• Strong Agile / Scrum leadership experience.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

COMPENSATION

• Competitive base salary commensurate with experience: $122,000 - $152,500 (subject to change dependent on physical location)
• Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
• Total Compensation = Base Salary + Incentive(s) + Benefits

BENEFITS

• A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.

Job Locations

#remote, Pennsylvania 19312 United States

Posting City: Wayne

Job Country: United States

Travel Required: Less than 10%

Requisition ID: 145286

Workplace Type: Remote