FinOps Analyst Cloud & Data Platforms
TechSpace Solutions Inc.
Houston, TX, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Data Analysis
Big Data
BigQuery
Cloud Computing
Cloud Storage
Data as a Services
Information Engineering
Data Infrastructure
Cloudera
Service-Oriented Architecture
+3 more
Google Cloud
Tools for Reporting
Cloud Optimization
Job description
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.
Requirements
- Deep hands-on experience with Google Cloud Platform and AWS cloud platforms.
- Strong understanding of Google Cloud Platform Data Platform services, including Big Query, 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 analysing 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 efficient
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