4 дня назад
Solution Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solution Architect (AI): Designing end-to-end Cognite SaaS solutions that integrate data, visualization, transformation, and customer systems with an accent on data modeling, cloud architecture, and robust integrations. Focus on architecting secure and observable implementations, connecting Cognite Data Fusion with enterprise ecosystems, and guiding complex industrial data and analytics projects.
Location: Oslo, Norway
Company
builds AI, data, and SaaS solutions for industrial digitalization and operational improvement.
What you will do
- Design complex end-to-end solutions that combine products with customer portfolios and target architectures.
- Map technical requirements from discovery through implementation with sales, delivery teams, data scientists, partners, and customers.
- Select and integrate data visualization and transformation technologies such as Power BI, Grafana, Plotly Dash, Databricks, Azure, GCP, and AWS.
- Design data models and integrations using Data Fusion, SQL, Python, Java, REST APIs, and data connectors.
- Ensure solution quality through robust integrations, CI/CD, logging, security, monitoring, and clearly defined operational support.
- Advise customers and partners on Data Fusion and identify opportunities to improve products and features.
Requirements
- 7+ years of experience as an application or data engineer, solution or enterprise architect, or machine learning engineer.
- Degree in engineering, computer science, physics, or a related quantitative field, or equivalent demonstrated experience.
- Hands-on Python experience and strong knowledge of software development best practices.
- Experience with enterprise integration, customer relationships, data and analytics implementations, and IT integration design.
- Experience with a public cloud platform, network security, identity providers, application hosting, operations, monitoring, logging, and reporting.
- DevOps experience with Git, CI/CD, deployment environments, data modeling, data warehousing, and big data architectures.
Nice to have
- Experience in the heavy asset industry, including oil and gas, manufacturing, or pharmaceuticals.
- Experience with operational data, customer business drivers, and consulting-led requirements negotiation.
Culture & Benefits
- International organization with 60 nationalities and a focus on diversity, equality, and inclusion.
- Flat structure with direct access to decision-makers and cross-functional collaboration.
- Private health services, a subsidized canteen lunch, and a free membership to the on-site gym.
- Modern workplace with access to ambitious industrial projects and advanced technology.
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