Senior Solution Architect
Cognite - AI for Industry1 day ago
Mexico City, Mexico +2 moreSenior
Responsibilities
- Design complex end-to-end solutions combining Cognite products with customer portfolios.
- Work with project teams to map requirements and ensure quality implementations.
- Select and architect data visualization and transformation technologies.
- Model and contextualize data in Cognite Data Fusion using graph and relational approaches.
- Design robust integrations, data models, infrastructure solutions, and customer-fit technical architectures.
- Use Cognite data connectors, SQL, Python, Java, and REST APIs for integration and advanced technical work.
- Advise customers and partners on Cognite Data Fusion implementations.
- Define operational responsibilities and support agreements for delivered solutions.
- Collaborate with sales, delivery teams, data scientists, product managers, and technical leads.
- Identify customer-driven opportunities for new products and features and contribute to Cognite’s SaaS improvements.
Requirements
- Fully bilingual written and verbal English and Spanish proficiency is required.
- At least 5 years of experience as an application, data, solution, or enterprise architect.
- At least 2 years of experience in the heavy asset industry, including oil and gas, manufacturing, or pharmaceuticals.
- Experience with operational data, customer business drivers, enterprise integration, customer relationships, or IT integration design.
- Bachelor’s degree is required; a master’s degree is preferred.
- Consulting experience and the ability to negotiate requirements with customers and colleagues.
- Data and analytics project experience with the ability to lead implementations.
- Broad experience with data and analytics stacks and business intelligence tools such as Power BI.
- Familiarity with SQL and big data tooling, including the Apache Spark ecosystem.
- Experience with a public cloud such as AWS, GCP, or Azure, including network security, identity providers, and application hosting.
- Experience with operations, support, change control, centralized monitoring, logging, and reporting.
- Experience with Git, CI/CD, and deployment environments.
- Technical background and willingness to contribute code for advanced topics.
- Architectural experience with data modeling, classical data warehousing, big data architectures, and infrastructure solutions.
Benefits
- The role is based in a talent pool being built in Mexico, with intended new hires starting in Q1 2027.
- The position offers work across consulting, architecture, product development, and cross-functional collaboration.
- Cognite describes a supportive environment focused on sharing ideas, learning, and inclusive teamwork.
Tech Stack
Categories
Solutions Engineering
About Cognite - AI for Industry
Cognite builds an industrial data and AI platform used by energy, manufacturing, and power & utilities companies to integrate OT/IT data and deploy AI at scale. Its flagship product, Cognite Data Fusion, is sold as enterprise SaaS with services for implementation and Industrial AI agents. Founded in 2016 and privately held, the company focuses on asset-intensive operations and Industrial DataOps.