Lead Data Platform Optimization

FinOpsly
is the first AI-native FinOps platform designed for cloud, data, and AI at scale. Powered by FI, FinOpsly offers real-time cost intelligence, reveals inefficiencies that CSP tools miss, and automates optimization across Engineering, Finance, and Ops. This drives proactive, strategic, and execution-ready FinOps. Our intelligent multi-agent system enables these functionalities for a seamless and efficient experience.

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.