Principal Data Architect

📋 Description

• Lead delivery and execution of AI engineering projects.
• Apply engineering standards; align with business goals.
• Deliver measurable value via modern AI systems.
• Oversee day-to-day delivery with EM; planning and risk management.
• Mentor engineers; enable knowledge transfer and handover.
• Partner with Product/Business to identify AI value.

🎯 Requirements

• Proven engineering leadership delivering data/ML products in production.
• Strong grasp of modern LLM/agentic patterns: RAG, embeddings, tool-calling.
• Software foundations: architecture, microservices, API, CI/CD, cloud.
• Hands-on MLOps/LLMOps: monitoring, deployment, governance, observability.
• Data engineering, pipelines, orchestration, quality, and SRE practices.
• Servant leadership with high standards and stakeholder alignment.

🎁 Benefits

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Profit Sharing and Results Participation (PLR)
• Life insurance