This role is a mix of consulting, architecture, and product development in a welcoming cross-functional team. Above all else, we strive to foster a supportive team environment where everyone is excited to share ideas, ask for help, and learn from each other.
As a Senior Solutions Architect, you will be an expert in how we implement our Cognite SaaS offerings and applications.
Your primary responsibility will be to work with project teams to map requirements for a quality implementation ensuring that:
The right data visualization technology is used in the right way (E.g Power BI, Grafana, Plotly Dash)
The right data transformation technology is used in the right way (E.g Databricks, Azure, GCP, AWS)
The data is efficiently modeled and contextualized in Cognite Data Fusion (E.g graph and relational)
Integrations are well thought out and robustImportant quality criteria for the solution are met (E.g. CI/CD, logging, security)
Operational responsibility and support agreements for the delivered solution are clearly defined
Design overall technical solution and ensure technical fit within the customer ecosystem and target architecture
Design integration and data model using Cognite data connectors, SQL, Python/Java and Rest APIs
Credible advisor to our customers and partners on Cognite Data Fusion
We are proactively building out our talent pool in Mexico with the intention to have new hires start in Q1 2027
The Impact you bring to Cognite
Fully bilingual both verbal and written in English and Spanish is required
5+ years experience as an application/data/solution/enterprise architect
2+ years of experience from the heavy asset industry (Oil & Gas, Manufacturing or Pharmaceuticals) is required
Experience with operational data and customer business drivers in the heavy asset industry
Bachelor's degree is required; Masters degree a plus
Consulting experience that allows you to confidently negotiate requirements with customers and colleagues
Have experience with enterprise integration, customer relationships or IT integration design
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
Why Cognite
You will work at the forefront of Industrial AI, partnering with some of the world's leading industrial organisations to solve problems that actually matter at scale — not hypothetical ones. You'll join a collaborative, fast-moving environment where curiosity and ownership are the norm, not the exception. If you want delivery work you can point to and be proud of, we'd love to hear from you.
Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
