Lead Data Platform Optimization

FinOpsly i s 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.