Solutions Architect, Data Engineering
SnowflakeFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
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The role requires deep technical expertise in platform architecture, data engineering, strategic thinking, leadership influence, and skills in designing systems for high-scale data processing, reliability, observability, and innovation.
Cognite's values are Impact (result-oriented), Ownership (embracing responsibility and inclusivity), and Relentless (pursuit of innovation, facing challenges head-on). The culture fosters ingenuity where AI and data meet to drive industrial transformation.
Strong candidates are technical leaders who can shape platform direction, drive architecture for high-scale data processing (100M+ requests), mentor teams, champion innovation, and ensure platform reliability and observability.
Industrial data management for asset-heavy industries
Cognite specializes in managing industrial data and facilitating digital transformation for asset-heavy industries like oil and gas, power and utilities, and manufacturing. Its main product, Cognite Data Fusion, integrates and organizes data from various sources, making it easier for businesses to analyze and utilize this information effectively. This process, known as data contextualization, enhances the relevance of data for better decision-making. Cognite operates on a software-as-a-service (SaaS) model, allowing clients to subscribe to its software, which provides a consistent revenue stream and access to ongoing updates. Additionally, Cognite offers consulting services to assist clients in optimizing their use of the software. The company's goal is to help industries improve their operations through better data management and digital solutions.