Posted on: 13/02/2026
Description :
As the Lead Architect of Data Integration at Cognite you will :
- Make technical decisions that give Cognite a competitive edge.
- Take advantage of recent advancements in AI to develop a future-proof data integration product.
- Ensure that the architecture in the Data Integration Product Area is aligned with Cognites architecture principles, that it is scalable, can meet its SLOs and that cloud cost scales in a reasonable manner.
- As part of the Office of the CTO, contribute to the overall architecture and architecture principles at Cognite.
- Evaluate and select technologies, frameworks, libraries and tools and drive the adoption of these in our teams.
- Lead by example by working with the teams to ensure the right level of standardization (and to help out where specialization is needed).
- Work cross functionally to understand the needs of our customers, partners and delivery services with regards to data integration.
- Work closely with delivery teams and other product areas to ensure our data integration capabilities cater to their needs and works well with the rest of our product, for example by making sure that AI agents can be embedded into our data pipelines.
- Mentor senior developers.
The Impact you bring to Cognite :
- 13+ years of development and design experience.
- 5+ years of experience working with data integration, data engineering, big data technologies or similar.
- Experience architecting complex systems at scale.
- Good overview of data engineering technologies like Spark, Airflow/Conductor, Kafka, ETL/ELT, Blob storage/Parquet/Iceberg/Delta tables, Langgraph.
- Experience building products that use probabilistic technologies such as machine learning or AI.
- Strong software development background with typed & compiled languages. Experience with JVM is a plus.
- Experience in implementing good practises for testing and development standards across large codebases.
- Understanding of how to design high performance systems that consistently deliver on SLOs.
- Experience working with k8s and managed services (PaaS) on one or more of the major public clouds : AWS, Azure or GCP.
- Experience working with OAuth2.0, OpenID Connect, Entra ID and other authentication services.
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.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1612632