A typical day as a Cogniter will contain the following tasks & responsibilities
- As a Principal 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)
- 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
- Collaborate in identifying account risk, and mitigating actions that could involve product, delivery and management
- Collaborating with Sales, Engineering, and Product Management teams to translate customer needs into product offerings
- Mentor and coach Solution architects in the department
- Insight into relevant laws and regulations that influences our products and solutions
- Insight into relevant laws and regulations that influences our products and solutions
We believe most of these should match your experience
- 10+ years experience as an application/data/solution/enterprise architect
- 3+ years of 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
- 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)
- Experience with operations, including support and change control, as well as experience architecting
- 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
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What We Do
Cognite is an AI company that delivers industrial software to improve the production efficiency of Energy, Process Manufacturing, and other industrial companies.
We deliver an Industrial DataOps platform that liberates siloed data and empowers our customers to solve some of their most complex business problems with AI-powered solutions. The typical solutions we enable drive innovative new ways to approach Data Exploration, Digital Operator Rounds, Production Optimization, Turnaround Planning, and Root Cause Analysis.
We do this by automating and scaling industrial data contextualization of various sources (such as time series, engineering diagrams, equipment logs, maintenance records, 3D facility models, images, large point clouds, and more). We use AI and other tools to find and map the meaningful relationships between the data across these various sources. In addition, we provide intuitive tools that enable efficient use of analytics and automated workflows, as well as prebuilt AI capabilities and a low-code industrial agent builder, Cognite Atlas AI, that enables AI to carry out more complex operations with greater accuracy.
Why Work With Us
Employees at Cognite are pushing the envelope with the latest cloud technology, scaling industrial applications across hundreds of assets, revolutionizing industrial data models, and working with robotics. Cogniters are fast, creative, and resilient. We keep the energy high and fun, learning from our mistakes and celebrating our victories together.
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