Senior Solutions Architect

Cognite
Bengaluru
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 9+ yearsSkills: ["Technical leadership","Stakeholder communication","Ownership","Collaboration","Coaching"]

Lead end-to-end solution architecture for industrial customers in Cognite’s Value Delivery organization. You’ll provide strategic and technical expertise across integrations, data models, and user-facing solutions, expressing complex architectures through modeling tools. Work hands-on with Python and software development best practices while collaborating with Sales, Engineering, and Product to translate customer needs into prioritized product offerings and drive adoption through training and stakeholder engagement.

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FursaFursa
Cognite
Cognite
9 hours ago

Senior Solutions Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Lead end-to-end solution architecture for industrial customers in Cognite’s Value Delivery organization. You’ll provide strategic and technical expertise across integrations, data models, and user-facing solutions, expressing complex architectures through modeling tools. Work hands-on with Python and software development best practices while collaborating with Sales, Engineering, and Product to translate customer needs into prioritized product offerings and drive adoption through training and stakeholder engagement.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead end-to-end architecture and solution design for customer integrations and deliverables.
  • •Provide strategic and technical expertise to support customers and customer-facing project teams.
  • •Define enterprise and solution architecture, including integration and data models and data ingestion pipelines.
  • •Model and communicate complex technical solutions using architecture modeling tools.
  • •Work hands-on on integration, data modeling, and related activities using Cognite data connectors and extractors, SQL, Python/Java, and REST APIs.
Travel: Low travel

Key Requirements

  • •9+ years of experience working as a Data Engineer.
  • •Technical background with ability and willingness to contribute code for advanced topics when needed.
  • •Hands-on expertise in Python and familiarity with software development best practices.
  • •Ability to define enterprise and solution architecture, including integration, data models, and data ingestion pipelines.
  • •Experience working with Cognite data connectors and extractors, and building integrations to completion.
Experience:9+ yearsData engineeringIndustrialEnergyManufacturing
Skills:Technical leadershipStakeholder communicationOwnershipCollaborationCoaching
Tech Stack:PythonJavaSQLREST APIsAzureAWSGoogle CloudData connectorsData extractorsArchitecture modeling toolsIntegration architecture

Company Brief

Cognite
Provides industrial data software that helps companies connect, contextualize, and use operational data for analytics, AI, and digital transformation. Its platform is used by heavy-industry customers to improve asset performance and operations.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Oslo, Norway
Founded: 2016
WebsiteLinkedIn