Principal Data Architect

Role overview Shape data platform solutions from early client discovery through architecture and prototyping. The role combines hands-on engineering with solution design: clarifying needs, presenting proposals, assessing delivery constraints, and developing reusable patterns for recurring problems.

Responsibilities - Lead discovery workshops, explore requirements, and present solution and architecture options. - Advise presales teams on architecture and contribute to proposal development. - Translate business and technical needs into high-level designs, including risks, dependencies, and constraints. - Prototype solutions while shaping the target architecture. - Help project teams resolve difficult technical problems. - Develop reusable patterns and accelerators based on recurring client needs.

Requirements - Recent, hands-on experience as a data or solution architect, with a strong engineering background. - Practical knowledge of at least one major cloud platform—Azure, AWS, or GCP—and modern data platforms such as Databricks or Snowflake. - Experience designing lakehouse architectures, including Delta Lake or Iceberg, medallion layers, batch, and streaming workloads. - Experience with data platform migration and modernization, and with integrating business systems and data platforms. - Understanding of agentic data engineering and AI coding agents, as well as AI/ML and GenAI patterns such as LLMs, RAG, MLOps, and AI-ready pipelines. - Ability to create architecture proposals and high-level designs, assess delivery risks, and communicate with technical and non-technical audiences. - Must be based in the European Union and have a valid work permit.

Nice to have - Technical leadership, including guiding project teams and setting direction. - Experience with data governance, security, and quality, or with broader enterprise cloud data services. - Hands-on delivery of AI-powered solutions, proposal or bid support, or relevant cloud and data platform certifications.