SR. DATA ENGINEER

• 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.