Cloud FinOps SME Enterprise Data Platform (Databricks)

San Jose, CA, US • Posted 17 hours ago • Updated 17 hours ago

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Contract Independent

On-site

Depends on Experience

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Job Details

Skills

AWS
Azure
Finance Operations
cloud financial management (FinOps)
Databricks
Apache Spark
Sql
Python
Business intelligence
cloud cost management
FinOps
platform operations

Summary

Greetings from WB Solutions!!!!

We have the Urgent requirement for a Cloud FinOps SME Enterprise Data Platform (Databricks) at San Jose, CA Long-Term Contract.

Role: Cloud FinOps SME Enterprise Data Platform (Databricks)
Location: San Jose, CA

Role:

The Cloud FinOps Subject Matter Expert (SME) will be responsible for driving cloud financial management (FinOps) for the enterprise Data Cloud platform built on Databricks across AWS and Azure. This role will monitor and optimize cloud consumption, provide cost transparency, develop forecasting models, and collaborate with engineering teams to improve platform efficiency and resource utilization.
The role will also establish governance practices, enable cost accountability across teams, and provide actionable insights into platform utilization and cost drivers. The position will report to the Director of Enterprise Data Platform.

What You Will Do:
Monitor, analyze, and optimize cloud spending across Databricks workloads, AWS, and Azure 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 (tagging, workspace mapping, business units, products) to track unit economics such as cost per customer, workload, or data pipeline
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, auto-scaling, 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 Databricks 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

Qualifications:
To be successful in this role you have:
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 (AWS and/or 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

Nice to Have:
FinOps Foundation 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

Soft 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, 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90956948
Position Id: 8908310
Posted 17 hours ago

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San Jose, California

•

Today

Cloud FinOps SME Enterprise Data Platform (Databricks) San Jose, CA (Day 1 On-Site) Long Term Must Have ~Strong FinOps / cloud cost management experience ~Databricks platform experience ~Ability to manage cloud cost optimization and governance ~Excellent communication skills (role interacts with many departments and directors) ~Candidate must be comfortable discussing financial topics and communicating with multiple stakeholders. ~Technical engineering background ~Experience optimizing Power BI

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Third Party, Contract

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Cloud FinOps SME Enterprise Data Platform (Databricks)

San Jose, California

•

Today

Cloud FinOps SME Enterprise Data Platform (Databricks) San Jose, CA (Day 1 On-Site) Long Term Must Have: ~Strong FinOps / cloud cost management experience ~Databricks platform experience ~Ability to manage cloud cost optimization and governance ~Excellent communication skills (role interacts with many departments and directors) ~Candidate must be comfortable discussing financial topics and communicating with multiple stakeholders. ~Technical engineering background ~Experience optimizing Power

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Contract, Third Party

Depends on Experience

Cloud FinOps SME – Enterprise Data Platform (Databricks)

San Jose, California

•

Yesterday

Role OverviewSeeking a Cloud FinOps Subject Matter Expert to manage cloud financial operations and cost optimization for the enterprise Databricks data platform on Azure and AWS. The role focuses on monitoring cloud consumption, improving platform efficiency, forecasting costs, and establishing FinOps governance while partnering with engineering, finance, and product teams. Key ResponsibilitiesMonitor and optimize cloud spend across Databricks workloads, Azure, and AWS Build cost visibility dash

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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 - $78hrRequirement/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 dashbo

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