Join EY and build a distinguished career in a globally supportive, inclusive, and technologically advanced environment. We seek a seasoned Cognite Solution Architect, Senior Manager, to craft innovative industrial data solutions for upstream and downstream Oil & Gas sectors.

Your expertise will be crucial in defining how operational, enterprise, and engineering data integrates, models, and contextualizes within Cognite Data Fusion (CDF). You will also guide how applications and analytics leverage this consolidated information.

This role involves owning critical solution architecture decisions, establishing repeatable implementation patterns, and expertly resolving complex technical challenges across various data sources, models, access controls, and consuming applications.

Key responsibilities include translating use cases into data requirements and integration designs, defining CDF's role within existing enterprise architectures, and selecting appropriate data extraction methods. You will establish robust historical loading, incremental extraction, and reconciliation strategies, ensuring data integrity and accuracy.

Design and implement advanced CDF data models using spaces, containers, and views, adapting Cognite’s Core Data Model and introducing custom concepts. Define stable identifiers, crosswalks, and conflict resolution rules. Model physical equipment, functional locations, and installation history, ensuring schema versioning and consumer compatibility.

Contextualize industrial information by designing relationships between assets and various data types. Define matching rules and exception handling for ambiguous associations. Model specific Oil & Gas domain concepts for both upstream and downstream applications, validating that contextualized data supports engineering workflows. Enable applications and AI workflows through defined data contracts and rigorous validation.

A relevant engineering, computer science, or information systems degree, or equivalent technical experience is essential. You must demonstrate significant architectural contributions to a production Cognite Data Fusion implementation.

Possess strong knowledge of CDF data modelling, transformations, contextualization, and access controls, coupled with substantial industrial data integration experience. Proficiency in Python and SQL, with practical experience using Cognite SDK and REST APIs, is mandatory.

Experience defining identity strategies, model evolution, deployment patterns, and production support requirements is critical. Working knowledge of cloud architecture, identity providers, network boundaries, and CI/CD practices is required. Strong Oil & Gas implementation experience in either upstream or downstream, with adaptability to the other, is highly valued.