Principal Data Architect

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.

• 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.

• 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.

• 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.