A typical day as a Cogniter will contain the following tasks & responsibilities
- End-to-end architecture and solution design leadership
- Providing strategic and technical expertise to support customers and the customer-facing project teams
- Defining enterprise and solution architecture, including integration and data models and data ingestion pipelines, as well as user-facing solutions
- Expressing complex technical solutions through architecture modeling tools
- Ensure operational responsibility and support agreements for the delivered solutions
- Building strong relationships with key stakeholders, C-level executives, and IT and Business Data Managers to drive long-term adoption of Cognite’s products and services
- Training internal teams and partners in your area of specialization
- Independently work with managing integration, data modeling, and related activities using Cognite data connectors and extractors, SQL, Python/Java, Rest APIs and business intelligence tooling
- Collaborate with our Sales, Engineering and Product Management teams to turn customer needs into a prioritized pipeline of product offerings
- Develop and maintain technical and business expertise for Cognite’s products
- Identify risk to project deliverables or timeline, and propose mitigation actions
- Mentor, and coach DE resources in the project
- Define and implement a test plan and test strategy for a project
- Handle processes regarding compliance and data security
We believe most of these should match your experience
- 8 years relevant experience from a similar position, with minimum 2 years experience as a solution Architect
- Bachelor's degree in relevant field is required, Masters degree is advantageous
- 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
- 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
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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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