Senior Solution Architect

Cognite
Mexico City +5 more

Who this role is best for

Strong fit for technical consultants with heavy asset industry experience who can design end-to-end data and analytics solutions.

Best fit for

  • Technical consultants with 5+ years of enterprise architecture experience in the heavy asset industry
    — “5+ years experience as an application/data/solution/enterprise architect”
  • Candidates with a technical background and ability to lead data and analytics implementations
    — “able to confidently lead an implementation”
  • Individuals with a strong grasp of public cloud environments and DevOps practices
    — “Experience with a public cloud, preferably AWS, GCP or Azure, including familiarity with network security concepts, identity providers and application hosting”

Things to consider

  • The role requires full bilingual proficiency in English and Spanish, which may not be obvious from the title alone
    — “Fully bilingual both verbal and written in English and Spanish is required”
  • New hires in Mexico are expected to start in Q1 2027, which may require planning for a future timeline
    — “We are proactively building out our talent pool in Mexico with the intention to have new hires start in Q1 2027”

How to stand out

  • Highlight experience with data modeling in Cognite Data Fusion and integration design using REST APIs
    — “Design integration and data model using Cognite data connectors, SQL, Python/Java and Rest APIs”
  • Demonstrate your ability to advise customers on data fusion and solution architecture
    — “Credible advisor to our customers and partners on Cognite Data Fusion”
  • Showcase your experience with CI/CD, logging, and security in solution design
    — “Important quality criteria for the solution are met (E.g. CI/CD, logging, security)”
  • Emphasize your background in operational data and business drivers of heavy asset industries
    — “Experience with operational data and customer business drivers in the heavy asset industry”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed and contributed to decisions related to design and architecture of new frontend and/or backend features
  • Supported existing development efforts for industry-leading platform
  • Reduced total number of defects in the module/product to industry standards
  • Ensured integrations remain reliable as external APIs, SaaS products, and AI solutions evolve
Typical background
Experience in software development, particularly in Java and cloud-based applicationsBackground in designing and implementing complex software solutions

Skills & requirements

Required

JavaSpringRESTAzureCore JavaCloud Application ArchitectureDesign PatternsAPI ContractsAuthenticationError HandlingData TranslationEntity ResolutionWorkflow IntegrationsEvidence GenerationAdministrator-facing AI ExperiencesCode Coverage

Preferred

Claude CodeChatgpt/codexCursorJiraJira Service ManagementSlackMicrosoft TeamsAI TestingTest Automation

Stack & domain

AIData SolutionsData VisualizationData TransformationData ModelingIntegrationData ConnectorsSQLPythonJavaREST ApisCI/CDLoggingSecurityLeadershipProblem-solvingCollaborationCommunicationTeamworkIndustrial DigitalizationSoftware DevelopmentData ScienceCustomer Support

About the role

Original posting from Cognite via Greenhouse

What Cognite is: Relentless to achieve

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.

How you’ll demonstrate Ownership

At Cognite, the Global Value Delivery team leads software implementation, deployment & adoption for clients, and helps them accelerate their digital transformation efforts with Cognite’s product suite. We consist of people with diverse and high-performance backgrounds, ranging from Management Consulting, to Industry and Software development. We seek to continuously improve how we work with our clients, how we work together as a team, and how we develop as individuals.

The Senior Solutions Architect is responsible for the design of complex end to end solutions, merging our flagship products with the customer's portfolio, for both new and existing clients. You are a technical subject matter expert in all offerings across the professional and managed services catalog. From discovery through implementation, you will work closely with the sales team and the delivery teams, as well as our data scientists and customers to map out technical requirements and architect robust and familiar solutions. 

Through your work with our strategic customers, you will identify opportunities for new products and features, and work with our product managers and tech leads to continuously improve Cognite's SaaS offering.

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

Learn more about us

Impact 2025

Cognite's Industrial AI: Moonshot

We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

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.

Source: Cognite careers (Greenhouse)

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