Role Overview
Cognite Data Fusion uses a contemporary, adaptable data modeling approach based on Containers, Views, Spaces, and Instances to create a contextualized industrial knowledge graph.
Primary focus: Building and evolving industrial knowledge graphs and data models in Cognite Data Fusion to support upstream operations and broader digital initiatives.

Experience & Education
-10–15+ years in data modeling, information architecture, or related roles, with significant hands-on experience in industrial or energy sectors.
-Solid experience with Cognite Data Fusion data modeling (highly valued; CDF Fundamentals + Data Modeling certifications are a plus).
-Master’s degree or engineering background in Computer Science, Data Management, Industrial Engineering, or a relevant domain (e.g., Petroleum Engineering, Geosciences).

Experience : 10+ Years

Responsibilities
-As a Data Modeller working with Cognite Data Fusion, you design and maintain the semantic layer that turns raw industrial data into structured, queryable, and AI-ready knowledge:




Core Technical Duties (CDF-Specific)
Design, develop, and evolve semantic data models in CDF using Containers, Views, and the Data Modeling Service (DMS).
Extend and customize the Enterprise Data Model (EDM) to fit TotalEnergies’ upstream domain needs (assets, wells, equipment, time-series, events, documents, etc.).
Build and maintain asset hierarchies, relationships, and contextualization rules between different data sources.
Collaborate with domain experts to translate complex upstream business concepts (drilling, production, reservoir, maintenance) into expressive and scalable data models.
Define reusable Views for different use cases (operational dashboards, predictive analytics, digital twins, AI agents).
Ensure models support high performance for GraphQL and REST queries, time-series integration, and file/object linking.
Manage model versioning, deployment across environments (Dev/Test/Prod), and integration with CI

📌 Data Modeller Bengaluru
🏢 L&T Technology Services
📍 Bengaluru