Hiring | Cloud FinOps SME – Enterprise Data Platform (Databricks) | CA/UT
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Cloud FinOps SME – Enterprise Data Platform (Databricks)
Location Requirements
Preferred Locations
San Jose, California
Lehi, Utah
Work Model
2–3 days onsite required
Fully remote candidates are not preferred
Role Overview
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.
Reporting To: Director of Enterprise Data Platform
Key Responsibilities
Cloud Cost Monitoring & Optimization
Monitor, analyze, and optimize cloud spending across Databricks workloads, AWS, and Azure services
Identify and drive cost optimization initiatives such as:
Cluster right-sizing
Workload scheduling
Storage lifecycle policies
Reserved capacity planning
Cost Visibility & Analytics
Develop and maintain cloud cost visibility dashboards and usage analytics
Provide transparency into platform consumption and spending
Track and report FinOps KPIs, optimization initiatives, and realized savings
Cross-Team Collaboration
Partner with Data Engineering, Platform Engineering, and Product teams to implement cost-efficient cloud architecture and workload strategies
Collaborate with Finance teams to support showback and chargeback reporting
Improve cost accountability across engineering teams
Cost Allocation & Governance
Implement and manage cost allocation frameworks such as:
Tagging strategies
Workspace mapping
Business unit/product mapping
Track unit economics, including:
Cost per customer
Cost per workload
Cost per data pipeline
Forecasting & Financial Planning
Develop and maintain cloud consumption forecasting models
Support budgeting and financial planning cycles
Provide quarterly cost projections and annual planning inputs
Platform Optimization
Analyze Databricks platform utilization patterns
Recommend improvements in:
Cluster configurations
Job orchestration
Resource usage
Ensure governance and proper platform usage by:
Avoiding duplicate data
Eliminating redundant workloads
Improving platform observability and visibility
Automation & Process Improvement
Identify opportunities to automate cost monitoring and optimization
Improve processes in cloud cost management and reporting
Capacity Planning
Work with cloud providers on:
Reserved instances
Savings plans
Capacity reservations
Demand planning
Qualifications
Required Experience
6–10 years of experience in:
Cloud cost management
FinOps
Platform operations
Technical program management
Strong understanding of public cloud services and pricing models (AWS and/or Azure)
Experience with data platforms such as Databricks, Apache Spark, or large-scale analytics environments
Experience developing:
Cost analytics
Forecasting models
Financial reporting dashboards
Cloud Cost Optimization Expertise
Knowledge of:
Rightsizing
Autoscaling
Workload scheduling
Reserved capacity planning
Cloud Governance & Allocation
Experience implementing cost allocation models and tagging strategies
Ability to track and report cloud resource utilization
Technical & Analytical Skills
Strong analytical ability to translate cloud usage data into financial insights
Experience with data analysis tools such as:
SQL
Python
BI platforms
Collaboration & Communication
Experience collaborating with engineering, finance, and product teams
Excellent communication skills with the ability to present insights to both technical and non-technical stakeholders
Nice to Have
FinOps Foundation – FinOps Certified Practitioner
Experience with Databricks cost optimization and cluster management
Familiarity with cloud cost management tools such as:
CloudHealth
Cloudability
Native cloud cost management platforms
Experience building cost dashboards using BI tools
Power BI
Tableau
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
Agile / Scrum Expectations
This is not a dedicated Scrum Master role, but the candidate should be able to:
Help create a backlog of cost optimization initiatives
Define epics and user stories
Prioritize improvements with the manager
Platform Environment
Primary Platforms
Databricks (Must Have)
Azure Cloud
Secondary Exposure
AWS
Power BI optimization and monitoring
Must-Have Skills
Strong FinOps / cloud cost management experience
Hands-on Databricks platform experience
Experience with cloud cost optimization and governance
Technical engineering background
Power BI optimization experience
Strong communication skills with the ability to interact with multiple stakeholders and directors
Ability to create backlog, epics, and stories for optimization initiatives
Comfortable discussing financial topics with business teams