Lead Data Platform Optimization

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/account configurations, integrations, and resource controls.- Stay ahead of new Snowflake/Databricks features and translate them into marketable product differentiators.What You’ll Bring- 5+ years of experience with Snowflake or Databricks administration & optimization.- Proven expertise in platform internals:Snowflake: warehouses, queries, clustering, services, resource monitors.Databricks: clusters, jobs, Delta Lake, Spark optimization, autoscaling, Unity Catalog.- Strong SQL + Python skills for automation, monitoring, and recommendation logic.- Experience in multi-tenant SaaS environments and cost governance.- Track record of delivering performance gains and cost savings through platform-level optimizations.- Startup mindset: hands-on, automation-driven, customer-value obsessed.Preferred:- SnowPro Advanced (Database Admin/Architect) or Databricks Certified Data Engineer Professional.- Background in FinOps / cloud cost optimization practices.- Experience with automation frameworks (Terraform, dbt, Airflow).- Prior experience embedding platform optimization features into SaaS or FinOps tools.- Familiarity with compliance frameworks (SOC2, GDPR, HIPAA).Success Metrics (First 3 – 6 Months)- Deliver differentiated optimization and cost intelligence insights for Snowflake or Databricks environments.- Release customer-facing recommendations and dashboards for cost and performance improvements.- Build automation pipelines that surface and execute optimizations in near real-time.- Demonstrate measurable customer savings and performance improvements.- Position our optimization module as a market differentiator for enterprise customers.Why Join usThis is a high-impact role where your Snowflake or Databricks expertise will directly shape a differentiated FinOps SaaS product. You’ll have the opportunity to:- Own the optimization and cost intelligence layer of our platform.- Work directly with the leadership and product teams.- See your work translated into tangible customer savings and business value.Join us and help enterprises unlock the full potential of their data platforms — with greater performance, efficiency, and cost savings.