Define and evolve the end-to-end data platform strategy across ingestion, transformation, storage, and serving—anchored on Databricks (Lakehouse, Delta, Unity Catalog) and PostgreSQL—with production-grade reliability and cost efficiency.
Establish an AI-first data engineering practice: standard patterns, SDKs, and golden paths that...
Sprint Planning & Prioritization: Propose sprint priorities to the VP of Concrete; facilitate intake from Smartsheet to Jira; ensure alignment between stakeholder requests and team capacity
SCRUM Execution: Lead daily standups, retrospectives, and planning ceremonies; maintain Jira hygiene (ticket updates, dates, requirements, status tracking
Define and evolve the end‑to‑end Conversational AI platform: realtime ASR → agentic reasoning → TTS with sub‑second turn‑taking and production‑grade reliability.
Establish scalable multi‑agent patterns (task routing, tool use, memory, human‑in‑the‑loop) and standard SDKs/templates to accelerate team adoption.
