Role Overview: 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 buildingData Products
Data governance frameworks (Colibra / Atlan / Alation / Databricks Unity), security models, and semantic layers