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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.
Shift: US SHIFT
