Senior Solution Architect

Cognite Cognite · Industrial · United States · Value Delivery

This role focuses on designing and implementing end-to-end solutions for industrial digitalization using AI and data, merging Cognite's products with customer portfolios. It involves technical expertise, client interaction, and collaboration with data scientists and product teams to drive operational improvements and accelerate digital transformation.

What you'd actually do

  1. As a Senior Solutions Architect, you will be an expert in how we implement our Cognite SaaS offerings and applications.
  2. Your primary responsibility will be to work with project teams to map requirements for a quality implementation ensuring that:
  3. The right data visualization technology is used in the right way (E.g Power BI, Grafana, Plotly Dash)
  4. The right data transformation technology is used in the right way (E.g Databricks, Azure, GCP, AWS)
  5. The data is efficiently modeled and contextualized in Cognite Data Fusion (E.g. graph and relational)

Skills

Required

  • 7+ years experience as an application/data/solution/enterprise architect
  • 2+ years of experience from the heavy asset industry (Oil & Gas, Manufacturing or Pharmaceuticals)
  • Experience with operational data and customer business drivers in the heavy asset industry
  • Bachelor's degree
  • Consulting experience
  • Experience with enterprise integration, customer relationships or IT integration design
  • Data and analytics project experience
  • 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
  • Experience with operations, including support and change control
  • 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
  • Architectural skills dealing with data modeling and infrastructure solutions

Nice to have

  • Masters degree a plus

What the JD emphasized

  • 2+ years of experience from the heavy asset industry (Oil & Gas, Manufacturing or Pharmaceuticals) is required

Other signals

  • AI agents
  • industrial digitalization
  • data solutions
  • accelerates digital transformation