Job
- Level
- Senior
- Job Feld
- IT, DevOps, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Frankfurt am Main
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle übernimmst du die Verantwortung für die technische Architektur und Lösungen für industrielle Kunden, entwickelst Integrationen mit Python oder Java und arbeitest eng mit verschiedenen Teams zusammen, um erfolgreiche Projekte umzusetzen.
Job Technologien
Deine Rolle im Team
- As an Enterprise Architect at Cognite, you will play a pivotal role in the Expert Services Offerings department within our Value Delivery organisation.
- In this customer-facing position, you will work directly with key customers, field sales, delivery teams, and product development.
- You will use your seniority and technical competencies to help lead our industrial customers to increase productivity, profitability, reduce environmental impact and reduce costs.
- Our customers are large international process and energy industries, with challenges in asset performance and maintenance, production efficiency, and sustainability.
- Together with the team, you will define solutions and support each integration through to a successful finish.
- Through our services offerings, customers can get access to technical expertise, advisory, and hands-on assistance in developing and implementing solutions on top of Cognite Data Fusion.
- As an Enterprise Architect, you will help deliver on the objectives and outcomes sold and defined in Support Offer/Success Track contracts.
- You will be hands-on in Python as well as maintain good hands-on expertise with software development best practices including: 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, Collaborating with Sales, Engineering, and Product Management teams to translate customer needs into product offerings, Independently work with managing integration, data modeling, and related activities using Cognite data connectors and extractors, SQL, Python/Java, Rest APIs and Cloud platform providers like Azure, AWS & Google, 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.
Unsere Erwartungen an dich
Qualifikationen
- Strong technical background in backend software engineering with hands-on proficiency in Python and/or Java; willing and able to dive in and contribute code for advanced topics when needed.
- Demonstrated success working with enterprise customers in industrial domains such as Manufacturing, Energy, Oil & Gas, Process Industries, Pharma, or Life Sciences-understanding their operational challenges, business models, and technical constraints.
- Proven ability to build and maintain strong relationships with C-level executives, IT leaders, and technical stakeholders, acting as a trusted technical advisor throughout the customer lifecycle.
Erfahrung
- 10+ years of experience working as a Software Engineer, Data Engineer, Machine Learning Engineer, or Solutions Architect, with demonstrated progression into architecture and design leadership roles.
- 5+ years in a Solutions Architect, Technical Architect, or Enterprise Architect role, with proven track record designing and delivering end-to-end solutions for enterprise customers.
- Experience supporting scaling SaaS, B2B software, or technology organizations in high-growth or enterprise environments, with demonstrated comfort navigating ambiguity and evolving customer requirements.
- Proven experience defining solution architectures for complex enterprise integrations, including data ingestion pipelines, API design, microservices architecture, and cloud-native solutions.
- Experience with modern cloud platforms (AWS, Azure, Google Cloud), including hands-on knowledge of cloud infrastructure, container orchestration (Kubernetes/Docker), CI/CD pipelines, and DevOps practices.
Unser Angebot
- Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems.
- With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
- We thrive in challenges.
- We challenge assumptions.
- We execute with speed and ownership.
- If you view obstacles as signals to step forward - not backwards - you'll feel right at home here.
- Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works.
- Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Cognite - AI for Industry
Cognite AS, mit Sitz in Oslo, Norwegen, ist ein Anbieter von Software für Industrial-AI und Datenmanagement. Das Unternehmen hilft Industrieunternehmen bei der digitalen Transformation und der effektiven Nutzung komplexer Daten für KI-Anwendungen. Seit seiner Gründung im Jahr 2016 bietet Cognite Lösungen zur Steigerung der operativen Effizienz und zur Automatisierung von Prozessen.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Enterprise Architect
- Ort
- Frankfurt am Main
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
