Description
The role designs and maintains scalable data solutions for AI applications and advanced analytics, builds semantic data models and integrations, applies causal inference and generative-AI techniques, and provides technical leadership through mentoring, code reviews, and architectural guidance. It requires a bachelor's or master's degree in a technical field, at least five years of senior data, AI, or analytics engineering experience, and hands-on expertise with Databricks, Google Cloud Platform, Python, semantic layers, causal inference, LLM frameworks, and data governance.
