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We are looking for a Cloud FinOps SME for our client in Santa Clara, CA

Job Title: Cloud FinOps SME
Job Location: Santa Clara, CA
Job Type: Contract

Job Description:
Pay Range: $73hr – $78hr

Requirement/Must Have:
Strong understanding of public cloud services and pricing models such as AWS and Azure.
Experience working with data platforms such as Databricks, Apache Spark, or large-scale analytics environments.
Experience developing cost analytics, forecasting models, and financial reporting dashboards.
Knowledge of cloud cost optimization techniques including rightsizing, autoscaling, workload scheduling, and reserved capacity planning.
Experience implementing cost allocation models and tagging strategies for cloud resource tracking.
Strong analytical skills with the ability to translate cloud usage data into financial insights and optimization recommendations.
Experience collaborating with engineering, finance, and product teams in a cross-functional environment.
Experience using data analysis tools such as SQL, Python, or BI platforms for reporting and analytics.
Excellent communication skills with the ability to present insights to both technical and non-technical stakeholders.

Experience:
Experience in cloud cost management, FinOps, platform operations, or technical program management.

Responsibilities:
Monitor, analyze, and optimize cloud spending across Databricks workloads and cloud services.
Develop and maintain cloud cost visibility dashboards and usage analytics to provide transparency into platform consumption and spending.
Partner with Data Engineering, Platform Engineering, and Product teams to implement cost-efficient cloud architecture and workload strategies.
Implement and manage cost allocation frameworks such as tagging, workspace mapping, business units, and product mapping to track unit economics.
Develop and maintain cloud consumption forecasting models and support budgeting and financial planning cycles.
Establish and promote FinOps governance policies and best practices including cluster usage guidelines, autoscaling, instance optimization, and idle resource management.
Identify and drive cost optimization initiatives such as cluster right-sizing, workload scheduling, storage lifecycle policies, and reserved capacity planning.
Collaborate with Finance teams to support showback and chargeback reporting and improve cost accountability across engineering teams.
Analyze platform utilization patterns and recommend improvements to cluster configurations, job orchestration, 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 cloud cost management and reporting.
Track and report FinOps KPIs, optimization initiatives, and realized savings.

Should Have:
FinOps Certified Practitioner certification.
Experience working with Databricks cost optimization and cluster management.
Familiarity with cloud cost management tools such as CloudHealth, Cloudability, or native cloud cost management platforms.
Experience building cost dashboards using BI tools such as Power BI, Tableau, or Looker.
Knowledge of enterprise data platform architecture.

Skills:
Strong analytical and problem-solving abilities.
Excellent communication and cross-team collaboration skills.
Ability to influence engineering teams toward cost-efficient design and operational practices.
Proactive and self-driven mindset with strong ownership.
Organized with strong attention to detail and documentation skills.
Ability to manage multiple priorities in a fast-paced environment.

Qualification and Education:
Relevant education or equivalent professional experience in a related field.