FinOps Engineer

Job Title: FinOps Engineer

Location: Houston, TX

Required Experience: 8-12 Years

We are primarily looking for a resource with strong FinOps expertise, particularly in Data Platform FinOps, cloud financial management, cost optimization, and billing analytics. The ideal candidate should have deep experience supporting large-scale data platforms on Google Cloud Platform and AWS, with a strong understanding of the cost drivers and optimization opportunities associated with modern data services. 

Key Requirements:

• Deep hands-on experience with Google Cloud Platform and AWS cloud platforms.
• Strong understanding of Google Cloud Platform Data Platform services, including BigQuery, Cloud Composer, Dataproc, Cloud Storage, and related analytics services from a FinOps and cost management perspective. Development experience is not required, but the candidate should understand service architecture, consumption patterns, and cost drivers.
• Strong knowledge of AWS CUR, CUDOS dashboards, Google Cloud Platform Billing Console, Cloud Billing exports, and cloud cost management/reporting tools.
• Expertise in analyzing cloud billing, usage, and consumption data to provide actionable insights and support informed business decisions.
• Proven experience identifying and implementing cloud optimization opportunities in AWS and Google Cloud Platform, including commitment management, rightsizing, storage optimization, workload efficiency, and cost allocation strategies.
• Strong financial acumen with the ability to connect technical cloud consumption to business and financial outcomes.
• Ability to develop forecasts, budgets, unit economics, showback/chargeback models, and executive-level FinOps reporting.
• Excellent communication and stakeholder management skills, with the ability to clearly articulate actuals, forecasts, optimization recommendations, risks, and business impacts.
• Proven ability to act as a FinOps leader, driving governance, accountability, cost transparency, and optimization programs across engineering, finance, and business teams.
• Experience working closely with Data Engineering, Analytics, and Platform teams to influence architectural decisions that balance performance, scalability, and cost efficiency.