Lead customer engagements building and productionizing AI and generative AI applications on Databricks. Responsibilities include architecture, technical delivery, client advisory, team leadership, workshops, MLOps, production pipelines, stakeholder communication, and technical enablement. The role requires strong Python, cloud, MLflow, Databricks, PySpark, SQL, Delta Lake, governance, LLM, and modern AI framework expertise in a consulting environment.

As a Senior Data Engineer, you will manage complex data projects, lead small teams, and work with clients on data engineering solutions. Responsibilities include ETL development, data pipeline orchestration, and customer relationship management.