Senior Solution Architect - Data Engineering

Cognite
Bengaluru
Full timeFunction: Solutions Engineering & Sales EngineeringExperience: 9+ yearsSkills: ["Ownership","Communication","Collaboration","Organised","Coaching"]

Lead end-to-end solution architecture for industrial AI and data integrations in a customer-facing role within Value Delivery. Partner with customers, field sales, delivery teams, and product to define enterprise and solution architecture, including integration, data models, and ingestion pipelines. Hands-on in Python and support delivery through operational responsibility, stakeholder alignment, and training internal teams and partners, using Cognite connectors, SQL, REST APIs, and cloud platforms.

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FursaFursa
Cognite
Cognite
1 month ago

Senior Solution Architect - Data Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 41 minutes agoStatus: Live

Job Summary

Lead end-to-end solution architecture for industrial AI and data integrations in a customer-facing role within Value Delivery. Partner with customers, field sales, delivery teams, and product to define enterprise and solution architecture, including integration, data models, and ingestion pipelines. Hands-on in Python and support delivery through operational responsibility, stakeholder alignment, and training internal teams and partners, using Cognite connectors, SQL, REST APIs, and cloud platforms.
Location: Bengaluru
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-facing integrations.
  • •Provide strategic and technical expertise to support customers and project teams.
  • •Define enterprise and solution architecture, including integration, data models, and data ingestion pipelines.
  • •Work hands-on on integration and data modeling using Cognite data connectors/extractors, SQL, Python/Java, REST APIs, and cloud platforms.
  • •Ensure operational responsibility and support agreements for delivered solutions, and help train internal teams and partners.

Key Requirements

  • •9+ years of experience working as a Data Engineer.
  • •Strong technical background with the ability to dive into and contribute code for advanced topics when needed.
  • •Ability to lead end-to-end architecture and solution design for customer integrations.
  • •Highly organised, thorough, and able to communicate effectively with stakeholders.
  • •Take ownership and drive tasks independently while collaborating and leading/coaching as needed.
Experience:9+ yearsData engineeringIndustrial AISaaS integrations
Skills:OwnershipCommunicationCollaborationOrganisedCoaching
Languages:English
Tech Stack:SQLPythonJavaREST APIsAzureAWSGoogle Cloud

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