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

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

FinOpslyBengaluru, Karnataka, India
8 days ago
Job description

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.

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    Data Platform Engineer • Bengaluru, Karnataka, India

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