Role Overview
JOB DESCRIPTION
Own the end-to-end architecture for enterprise data platforms and AI-driven supply chain solutions. Define standards, best practices, and ensure scalability and security.
Responsibilities
- Design enterprise-grade data architectures leveraging Snowflake, Databricks, or BigQuery. (experience with atleast 2 platforms mandatory)
- Define data governance frameworks (Colibra / Atlan / Alation / Databricks Unity), security models, and semantic layers.
- Lead migration strategies from SAP ECC/S4 to cloud lakehouse environments.
- Architect AI-ready data foundations for advanced analytics and LLM integration.
- Guide teams on performance optimization, cost management, and cloud-native patterns.
- Partner with business stakeholders to align architecture with supply chain objectives.
Qualifications
- Deep expertise in data architecture for cloud platforms (Snowflake, Databricks, BigQuery).
- Strong knowledge of data lakehouse patterns, Delta Lake, and semantic modeling.
- Experience with AI/ML enablement , LLM orchestration, and agentic workflows.
- Proficiency in Python, Spark/PySpark, and big data ecosystems.
- Familiarity with SAP and / or SAP BW as the source for data extraction and integration.
- Familiarity with SAP BDC (Business Data Cloud) and building Data Products
- Data governance frameworks (Colibra / Atlan / Alation / Databricks Unity ), security models, and semantic layers
- Excellent communication and leadership skills.
