• Define and implement the end-to-end architecture for the Lakehouse, ensuring support for high-volume batch processing, real-time streaming, and GenAI/LLM initiatives using Mosaic AI and MLflow • Design solutions that prioritize data quality at the source • Establish and enforce architectural patterns that ensure reliability and trust in data assets • Implement automated testing and observability frameworks (e.g., Delta Live Tables expectations) to maintain data health • Translate complex business requirements into robust logical and physical data models • Document and maintain clear data flow architectures for applications to ensure alignment between business intent and engineering output • Lead virtual Scrum teams and provide deep technical mentorship to data engineers and developers • Advocate for Spark/Databricks best practices, conduct code reviews, and drive the adoption of CI/CD and DevOps principles in data workflows • Architect the frameworks for data lineage, security, and lifecycle management (utilizing Unity Catalog) • Ensure strict compliance with internal policies and external regulations from the point of data ingestion to final consumption • Partner directly with business stakeholders to understand their roadmap and priorities • Ensure all data and AI initiatives are strictly aligned with tangible business value • Manage the architectural roadmap to balance immediate business needs with long-term technical scalability