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Cognite is an industrial digitalization company building AI and data solutions for the world's hardest, highest-impact problems. The company operates at the forefront of industrial AI, offering low-code AI agents and comprehensive data capabilities to accelerate digital transformation and drive operational improvements.
As a Senior Solutions Architect, you will play a pivotal role in the Technology department within the Value Delivery organization. This is a customer-facing position where you will work directly with key customers, field sales, delivery teams, and product development. You will leverage your seniority and technical competencies to help large international process and energy industry customers increase productivity, profitability, reduce environmental impact, and lower costs. Your customers face challenges in asset performance and maintenance, production efficiency, and sustainability.
Key responsibilities include:
- Lead end-to-end architecture and solution design for customer engagements
- Provide strategic and technical expertise to support customers and customer-facing project teams
- Define enterprise and solution architecture, including integration and data models, data ingestion pipelines, and user-facing solutions
- Express complex technical solutions through architecture modeling tools
- Ensure operational responsibility and support agreements for delivered solutions
- Build strong relationships with key stakeholders, C-level executives, and IT and Business Data Managers to drive long-term adoption
- Train internal teams and partners in your area of specialization
- Collaborate with Sales, Engineering, and Product Management to translate customer needs into product offerings
- Independently manage integration, data modeling, and related activities using Cognite data connectors and extractors, SQL, Python/Java, REST APIs, and cloud platforms (Azure, AWS, Google Cloud)
- Develop and maintain technical and business expertise for Cognite's products
You will be expected to be hands-on with Python and possess strong expertise in software development best practices. You must be highly organized, thorough, and communicate effectively with all stakeholders. The role requires willingness to travel and the ability to work both independently and collaboratively, leading and coaching others as needed.
REQUIREMENTS:
- 9+ years of experience working as a Data Engineer
- Technical background with willingness and ability to dive in and contribute code for advanced topics when needed
- Hands-on proficiency in Python
- Strong software development best practices expertise
PREFERRED EXPERIENCE:
- Data Engineering background
- Domain experience in Manufacturing, Energy, Oil & Gas, Pharma, or Life Sciences
