Senior Principal Architect
2 weeks ago
- The Office of the CTO is responsible for the architecture of Cognite Data Fusion, and ensuring it has a robust and scalable platform for solving industrial data problems for our customers. We are looking for a highly skilled and motivated software architect that can lead the design, development, and evolution of our data integration architecture. The architecture covers data ingestion, staging, transformation, contextualization and data pipeline orchestration. There is a large opportunity to make a step change in this area using generative AI. As a principal architect you will be responsible for the technical design of our foundational services and technology choices. These designs and choices must give Cognite a long term competitive advantage by allowing us to execute on our product roadmap, while maintaining scalability, robustness and cost efficiency.
- Lead the technical design our data integration and contextualization services
- 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 Cognite's 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
- 10+ years of development 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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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