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 us This 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.