Architect - Data Engineering.

Architect - Data Engineering Key Requirements Bachelor's degree in Computer Science, Engineering, or a related field. 8+ years of experience in Data Architecture, Solution Architecture, or senior Data Engineering roles, including 3+ years with demonstrated architectural ownership of enterprise-scale solutions. Deep expertise in cloud platforms (AWS, GCP, or Azure). Hands-on experience with the GCP data ecosystem is a strong advantage. Demonstrated ability to define and architect modern Al-enabled solutions, including agentic workflows, LLM application patterns, RAG, grounding, prompt and context engineering, model evaluation. Proven experience designing agentic workflows and building agentic solutions using Google Gemini Enterprise and/or Vertex Al is a strong advantage. Domain knowledge and familiarity with the core processes within relevant business domain(s). Exceptional communication and presentation skills, with a proven ability to explain complex architectural concepts to technical, functional, and executive audiences. Experience operating in a forward-deployed or embedded architecture model within business domains is an advantage. Familiarity with data mesh and data product operating models, semantic layers, and dimensional modeling is an advantage.