Core product: Cognite Data Fusion (Industrial DataOps / industrial AI platform)
Employees (reported): 776
Notable funding event: Private Equity round announced 2022-03-17 led by Vespa Capital
Company Overview
Problem Domain
Industrial data integration, DataOps, and industrial AI
Industry
Industrial software / industrial AI
Funding Track Record
Private Equity- 2022-03-17
Private Equity round announced on 2022-03-17
Investor Signal
“Strategic and growth investors (records show participation by investors including Saudi Aramco, TCV, Aker ASA and Vespa Capital across rounds)”
Founders
What we do
Join the Team
Solution Architect
On-SiteTokyo, Tokyo, JP
On-Site • Tokyo, Tokyo, JP
About Cognite
Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
Learn More About Cognite HereCognite Product Tour 2024Cognite Product Tour 2023Data Contextualization Masterclass 2023Our valuesI mpact
: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.
Ownership
: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success.
Relentless
: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth.
What You'll Do
As a Solutions Architect, you will be an expert in how we implement our Cognite SaaS offerings and applications.
Your primary responsibility will be to work with project teams to map requirements for a quality implementation ensuring that:
The right data visualization technology is used in the right way (E.g Power BI, Grafana, Plotly Dash)
Who You Are
A snapshot of our many perks and benefits as a Cogniter
Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @ cognitedata 📷 to know more
Flat structure with direct access to decision-makers, with minimal amount of bureaucracy
Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
Why choose Cognite? 🏆 🚀
Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation ! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader ! 🥇 Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇
Apply today!
If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team.
We encourage you to follow us on Cognite LinkedIn ; we post all our openings there.
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The right data transformation technology is used in the right way (E.g Databricks, Azure, GCP, AWS)
The data is efficiently modeled and contextualized in Cognite Data Fusion (E.g graph and relational)
Integrations are well thought out and robustImportant quality criteria for the solution are met (E.g. CI/CD, logging, security)
Operational responsibility and support agreements for the delivered solution are clearly defined
Design overall technical solution and ensure technical fit within the customer ecosystem and target architecture
Design integration and data model using Cognite data connectors, SQL, Python/Java and Rest APIs
Credible advisor to our customers and partners on Cognite Data Fusion
4+ years experience as an application/data/solution/enterprise architect
Exposure to and experience from the heavy asset industry related to downstream, petrochemicals or energy is required
Experience with operational data and customer business drivers in the heavy asset industry
Bachelor's degree is required; Masters degree a plus
Consulting experience that allows you to confidently negotiate requirements with customers and colleagues
Have experience with enterprise integration, customer relationships or IT integration design
Data and analytics project experience and able to confidently lead an implementation
Broad technical experience with data and analytics stacks
Familiarity with Business Intelligence tools and enterprise analytics stacks (Power BI or similar)
Familiarity with SQL and big data tooling (E.g Apache Spark ecosystem)
Experience with a public cloud, preferably AWS, GCP or Azure, including familiarity with network security concepts, identity providers and application hosting
Experience with operations, including support and change control, as well as experience architecting centralized monitoring, logging and reporting
Have a DevOps mindset, and experience with Git, CI/CD, deployment environments
Technical background, willing and able to dive in and contribute code for advanced topics when needed
Have architectural skills dealing with data modeling and infrastructure solutions, such as classical data warehousing and big data architectures
