Data & Cloud FinOps Consultant in Houston, TX

Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years.

Our solutions are designed to fill resource gaps, by providing the right candidates who deliver value to the organization. Our propensity to nurture and build strong relationships with our clients helps us better understand their business demands and gives us the ability to provide services that are on time and rise above the rest.

Data & Cloud FinOps Consultant

Role Overview

We are seeking an experienced Data & Cloud FinOps Consultant to support a large enterprise Data organization and its broader FinOps initiatives. The resource will work closely with the Data Center of Excellence (Data CoE), Data Platform teams, and Global FinOps organization, initially supporting a strategic DataMart decommissioning initiative and associated cloud financial-management activities.

The ideal candidate will bring strong experience across Cloud FinOps and Data Platform FinOps, particularly within Google Cloud Platform and AWS, and be comfortable independently driving financial analysis, governance, optimization discussions, and executive-level reporting.

Key Responsibilities

• Lead Cloud and Data Platform FinOps activities across Google Cloud Platform and AWS environments.
• Support financial management and optimization associated with enterprise data-platform initiatives, including the DataMart decommissioning program.
• Analyze cloud consumption, billing and usage trends to identify cost drivers, anomalies, risks, and optimization opportunities.
• Develop and maintain cloud cost forecasts, budgets, financial models, and variance analysis.
• Support chargeback/showback and cost-allocation models across business and technology organizations.
• Assess the cost and consumption characteristics of data-platform services, particularly:
  • Google BigQuery
  • Dataflow
  • Cloud Composer
  • Google Cloud Storage
  • Relevant AWS data and cloud services
• Partner with Data CoE, engineering, architecture, finance, and Global FinOps teams to drive financial accountability and cloud-cost governance.
• Independently facilitate FinOps reviews, governance forums and stakeholder discussions.
• Prepare and deliver executive-level presentations that clearly communicate financial performance, forecasts, risks, optimization opportunities, and business outcomes.
• Track optimization initiatives and help translate technical recommendations into measurable financial benefits.

Required Qualifications

• Strong hands-on experience in Cloud FinOps / Cloud Financial Management within a mid-to-large enterprise environment.
• Demonstrated experience with both Google Cloud Platform and AWS cost management.
• Strong understanding of cloud:
  • Cost and consumption management
  • Billing analytics
  • Forecasting and budgeting
  • Chargeback/showback
  • Cost allocation/tagging
  • Optimization and financial governance
• Experience supporting the financial management of data platforms and data workloads.
• Working knowledge of Google Cloud Platform data services such as BigQuery, Dataflow, Composer and Cloud Storage, including their consumption and cost drivers.
• Proven ability to analyze large cloud environments and identify opportunities for cost optimization and financial governance improvement.
• Strong analytical skills with the ability to translate technical consumption data into meaningful financial and business insights.
• Demonstrated ability to independently lead meetings, governance reviews and executive discussions.
• Excellent communication and presentation skills.

Preferred Qualifications

• FinOps Foundation certification or equivalent Cloud FinOps experience.
• Experience supporting data-platform modernization, rationalization or decommissioning initiatives.
• Experience working within a centralized Data CoE or enterprise FinOps organization.
• Familiarity with cloud cost-management / FinOps tooling and BI/reporting platforms.
• Experience developing dashboards or executive reporting around cloud consumption, unit economics and optimization.