• Design, build, and operate AI-ready data platforms leveraging Snowflake and cloud-native services • Architect and deliver conversational Data & AI Assistants integrated with Slack, Gemini, and enterprise systems • Partner closely with data analysts and business SMEs to translate business questions into reliable data products and AI experiences • Design and implement LLM-powered integrations and RAG-based data access patterns • Ensure availability, performance, scalability, and resiliency of data, analytics, and AI platforms • Define and implement operational standards including support models, SLAs, escalation paths, and incident lifecycle processes • Serve as a technical leader and mentor, setting engineering best practices and raising the bar across teams • Collaborate with data engineering, AI/ML, cloud, security, product, and business stakeholders • Champion SRE, DevOps, and FinOps best practices through hands-on implementation and guidance