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
~Ability to create backlog, epics, and stories for improvement initiatives
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 (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
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.
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
Torque Technologies LLC is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.
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