Data Modeller - Cognite Data Fusion

L&T Technology Services; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Cognite Data Fusion team in Bengaluru seeks a senior Data Modeller to design and maintain semantic data models for industrial knowledge graphs, supporting upstream operations and digital initiatives.

You will extend the EDM, manage versioning, ensure fast GraphQL/REST access, and collaborate with data engineers, DevOps, and domain experts to industrialize use cases like predictive maintenance and real-time optimization.

Qualifications

• 10+ years in data modeling, information architecture, or related roles in industrial/energy sectors.
• Strong experience with Cognite Data Fusion data modeling; certifications are a plus.
• Master's degree or engineering background in CS, data management, or related domains.

Responsibilities

• As a Data Modeller with Cognite Data Fusion, design and maintain semantic models for structured, AI-ready data.
• Extend the Enterprise Data Model to fit upstream domain needs (assets, wells, equipment, time-series, events).
• Collaborate with domain experts to translate upstream concepts into scalable data models.
• Ensure high performance for GraphQL/REST queries, time-series integration, and linking of files/objects.
• Lead data modeling best practices, versioning, and CI/CD integration across squads.

Skills

Cognite Data Fusion

GraphQL

Python (CDF SDK)

SQL

CI/CD

Data lineage

Metadata management

Azure

Education

Master's degree or engineering in CS/Data Management

Tools

CDF Data Modeling Service

EDM customization

Azure cloud tools

Job description

Cognite Data Fusion uses a modern, flexible 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.
• Strong 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.
• 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/CD pipelines.
• Implement data governance aspects within models: metadata, lineage, access controls, and quality rules.
• Provide technical leadership on data modeling best practices and standards across squads and the wider upstream digital community.
• Work closely with Data Engineers (on ingestion & extractors), DevOps (on model deployment automation), and Solution Builders (on consumption layers).
• Support the industrialization of use cases such as predictive maintenance, real-time optimization, safety applications, and emissions monitoring.
• Conduct model reviews, performance optimization, and debugging of complex queries.
• Stay current with CDF data modeling capabilities and contribute to Communities of Practice (CoP).

The emphasis is on creating flexible, extensible models that accelerate solution delivery while maintaining consistency and scalability across global assets.

Preferred Technical Skills

• Deep expertise in Cognite Data Modeling concepts: Spaces, Containers, Views, Instances, GraphQL schema, and the Core Data Model (CDM).
• Proficiency with industrial data types: time-series, asset hierarchies, events, 3D/files, and contextualization.
• Experience designing scalable knowledge graphs and semantic models for digital twins.
• Good knowledge of Python (CDF SDK), SQL, and GraphQL for modeling and querying.
• Understanding of CI/CD for data models and DataOps practices.
• Familiarity with related tools: data lineage, metadata management, and integration with Azure or other clouds

Additional Skills

• Excellent ability to collaborate with both technical teams and domain experts (bridge business and technology).
• Strong analytical and abstraction skills to model complex industrial processes.
• Agile mindset and experience working in cross-functional squads.
• Languages: English is mandatory; French is a strong advantage for Paris-based or headquarters roles.