Lead Data Platform Optimization & Intelligence Engineer (Snowflake / Databricks)

FinOpsly is the AI brain behind cost decisions across cloud, data, and AI — built to think, plan, and act. Purpose-built for today’s complex enterprise environments, we unify FinOps across AWS, Azure, Snowflake, Databricks, and modern AI workloads — enabling organizations to move from cost reporting to cost action.We are building a differentiated optimization and cost intelligence module to help enterprises reduce costs, improve performance, and maximize ROI on their data platforms. We are seeking a hands-on platform expert with deep knowledge of Snowflake or Databricks (ideally both). This role combines platform administration with optimization intelligence. You will translate your expertise into customer-facing insights, recommendations, and automation features that differentiate our product in the market and empower enterprise customers to save more.What You’ll do : - Analyze workloads, queries, clusters / warehouses, jobs, and services to identify inefficiencies and savings opportunities.- Build recommendation engines and automation pipelines to execute optimizations (e.g., auto-suspend clusters, scaling, caching, query / job improvements).- Implement continuous monitoring and intelligence dashboards for cost and performance optimization.- Partner with product and engineering teams to embed optimization insights into customer-facing modules.- Act as platform administrator for Snowflake or Databricks across enterprise / SaaS environments.- Manage security, RBAC, workspace /