Cloud FinOps SME Enterprise Data Platform - Databricks

Job Summary The Cloud FinOps SME - Enterprise Data Platform (Databricks) will be responsible for driving cloud financial management and optimizing cloud consumption across Databricks workloads on AWS and Azure. This role will ensure cost transparency, develop forecasting models, establish governance practices, and partner closely with engineering, finance, and product teams to improve platform efficiency and cost accountability. The position also provides insights into platform utilization patterns and supports financial planning processes. Key Responsibilities Monitor, analyze, and optimize cloud spending across Databricks workloads and cloud services on AWS and Azure. Develop and maintain dashboards and analytics to provide visibility into cloud usage and spending. Partner with Data Engineering, Platform Engineering, and Product teams to implement cost-efficient architecture and workload strategies. Implement and manage cost allocation frameworks using tagging, workspace mapping, and business unit tracking. Develop cloud consumption forecasting models to support budgeting and financial planning cycles. Establish and promote FinOps governance policies and best practices, including capacity optimization, auto-scaling, and idle resource management. Identify and drive cost optimization initiatives such as right-sizing, workload scheduling, storage lifecycle policies, and reserved capacity planning. Collaborate with Finance teams to support showback and chargeback processes and improve cost accountability across engineering teams. Analyze Databricks utilization patterns and recommend improvements to cluster configurations and resource usage. Work with cloud service providers on demand planning, reserved instances, savings plans, and capacity reservations. Identify opportunities for automation and process improvement in cost management and reporting. Track and report FinOps KPIs and realized cost savings. Required Qualifications 6-10 years of experience in cloud cost management, FinOps, platform operations, or technical program management. Strong understanding of public cloud services and pricing models for AWS or Azure. Experience working with data platforms such as Databricks, Apache Spark, or large-scale analytics ecosystems. Experience developing cost analytics, forecasting models, and financial reporting dashboards. Knowledge of cloud cost optimization techniques including right-sizing, autoscaling, workload scheduling, and reserved capacity planning. Experience implementing cost allocation models and tagging strategies for cloud resource tracking. Experience collaborating with engineering, finance, and product teams. Strong analytical skills with the ability to interpret usage data and produce financial insights. Experience using tools such as SQL, Python, or BI platforms for reporting and analysis. Excellent communication skills for both technical and non-technical stakeholders. Preferred Qualifications FinOps Foundation FinOps Certified Practitioner certification. Experience with Databricks cost optimization and cluster management. Familiarity with tools such as CloudHealth, Cloudability, or native cloud cost management services. Experience building cost dashboards with Power BI, Tableau, or Looker. Knowledge of enterprise data platform architecture. Strong analytical, organizational, and cross-team collaboration skills. Ability to influence engineering teams toward cost-efficient design and operations. Proven ability to manage multiple priorities in a fast-paced environment.