Data architect

Role Overview:
Own the end-to-end architecture and implementation for enterprise data platforms and AI solutions. Define standards, best practices, and ensure scalability and security.

Key Responsibilities:

• Design enterprise-grade data architectures leveraging Google Cloud, Google BigQuery (BQ)
• Define data governance frameworks (Colibra / Atlan / Alation / Databricks Unity), security models, and semantic layers.
• Lead migration strategies from SAP ECC/S4 to Google cloud / Datalake environments.
• Implement AI-ready data foundations for advanced analytics and LLM integration using Google Gemini and vertex AI.
• Guide teams on performance optimization, cost management, and cloud-native patterns.
• Partner with business stakeholders to align architecture with supply chain objectives.

B.tech /BE

• Deep expertise in data architecture for cloud platforms (Google 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.