Lead Salesforce strategy and architecture for lead-to-cash and service-to-retention workflows. Design scalable end-to-end solutions, enforce governance and DevOps, build AI-ready data architectures (Agentforce/Einstein), optimize performance, manage integrations and data migrations, and document designs while advising stakeholders and minimizing custom code.

This role involves designing scalable data ingestion systems and building a centralized data lake on Apache Iceberg. Responsibilities include improving performance and reliability, collaborating with data engineers, and providing technical leadership.

Lead and architect enterprise Kubernetes platforms (EKS/GKE), automate resource management and scaling (Karpenter, ScaleOps), implement IaC and CI/CD, apply FinOps to optimize cost, improve observability, mentor engineers, and drive platform resilience and operational excellence.