This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Analista Sênior de Business Intelligence – Foco em FinOps (Otimização de Custos Azure) based in Brazil.
This role sits at the intersection of data analytics, cloud engineering, and financial optimization, focusing on driving efficiency across large-scale data platforms. The professional will be responsible for identifying cost-saving opportunities in cloud environments, particularly within Microsoft Azure and Databricks ecosystems, ensuring performance and scalability are maintained. Working closely with engineering and finance teams, this position plays a key role in shaping FinOps practices and governance. The environment is highly collaborative, data-driven, and focused on continuous improvement and modernization. It requires strong analytical thinking and a proactive mindset to translate technical insights into financial impact. The role directly contributes to optimizing cloud investments while enabling business growth and operational excellence.
Accountabilities
Acting as a FinOps-focused BI specialist, you will monitor cloud consumption, identify inefficiencies, and drive cost optimization initiatives across data platforms. You will partner with engineering and finance teams to ensure visibility, accountability, and governance of cloud spending.
Monitor and analyze usage and cost patterns across Azure and Databricks environments, identifying top cost drivers and optimization opportunities
Lead and support savings initiatives such as workload rightsizing, cluster optimization, and automation of idle resource shutdowns
Collaborate with data engineering teams to implement FinOps best practices across pipelines, jobs, and data workflows
Track and validate cost impact before and after optimization actions, ensuring governance, tagging accuracy, and ownership attribution
Support modernization and migration initiatives with cost-performance analysis and recommendation of optimized architectures
Participate in FinOps rituals, backlog prioritization, and stakeholder reporting to ensure alignment between technical and financial goals
Requirements
The ideal candidate combines strong data engineering expertise with solid FinOps and cloud cost management experience. You are highly analytical, comfortable working with complex datasets, and skilled in translating technical metrics into business value.
Strong academic background in Computer Science, Engineering, Information Systems, Mathematics, Economics, or related fields
Advanced English (and/or Spanish) required for global collaboration
Solid experience in cloud data platforms with a focus on cost optimization and governance
Deep knowledge of Microsoft Azure services (e.g., Storage, SQL, Data Factory) and cost analysis by workload
Hands-on experience with Databricks including cluster management, autoscaling, optimization, and performance tuning
Advanced Python and SQL skills, including query optimization, data partitioning, and performance troubleshooting
Familiarity with Power BI and Microsoft Fabric concepts is a plus
Experience with observability, SLAs, job monitoring, and cost metrics in cloud environments
Strong communication skills and ability to collaborate across technical and business teams
Benefits
Competitive compensation aligned with market standards
Remote or hybrid work flexibility depending on location
Health and wellness benefits package (medical and dental coverage)
Performance-based incentives and potential bonuses
Access to continuous learning and upskilling opportunities
Collaborative and innovation-driven work environment
Exposure to large-scale cloud and data modernization initiatives
How Jobgether Works
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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