Senior FinOps Engineer (Data Platforms)
Azure / AWS / Snowflake / Databricks / Cloudera

Summary
We are looking for a Senior FinOps Engineer to lead the financial optimization of our global data estate. You will act as the bridge between Finance (Budget/Forecasting) and Engineering (Performance/Architecture).

This is a technical FinOps role, but you are not expected to write production data pipelines. Instead, you will use your technical understanding of cloud platforms to identify waste, model unit economics, and drive governance. You will operate as an analyst who speaks the language of engineering.

Key Responsibilities

Cloud Economics & Cost Optimisation

Analyze billing data and usage logs (Snowflake ACCOUNT_USAGE, Databricks System Tables) to identify trends, anomalies, and cost drivers.Identify waste and design technical solutions (cluster policies, warehouse sizing rules, storage tiering, auto-suspend/resume).Develop unit economics models (cost per job, query, TB, pipeline) to improve workload placement decisions.Build TCO/ROI analyses for platform options and provide recommendations to Architecture and Engineering.Define and maintain cloud commitment strategies (Reserved Instances, Savings Plans, capacity optimisation).

Engineering Collaboration

Partner with Platform Engineering, Data Engineering, and Architecture to embed cost-aware design principles.Influence engineering decisions through cost/performance trade-off analysis.Review platform configurations (clusters, warehouses, pipelines) and propose changes to reduce waste without impacting performance.Develop optimisation playbooks for recurring workload patterns (ETL pipelines, ML workloads, streaming jobs).

Automation & Governance

Partner with DevOps to implement Policy-as-Code (e.g., preventing oversized clusters in development environments).Define and audit a robust tagging policy (Project, Cost Center, Environment, etc.) to ensure accurate chargeback to Business Units.Build and maintain dashboards in Power BI or Spotfire for engineering teams and leadership.

Reporting, Forecasting & Visibility

Own monthly and quarterly cloud spend reviews, highlighting cost drivers, variances, and recommended actions.Drive continuous improvement in forecast accuracy and cost allocation.Establish a transparent model to show Business Units their exact data usage costs.Required Experience

Technical Background (Engineer / Architect)

4–7+ years in a FinOps, Cloud Analyst, or Data Operations role.Strong understanding of Snowflake pricing (Credits, Warehouses, Storage) and Databricks pricing (DBUs, Photon, All-Purpose vs. Jobs).Strong SQL skills, especially for joining billing tables and extracting insights from system logs (crucial).Familiarity with AWS/Azure core concepts (compute, storage classes, data transfer costs).

FinOps & Analytical Skills

Familiarity with the FinOps Framework and cloud economics best practices.Experience with Reserved Instances, Savings Plans, sizing exercises, workload optimisation, and TCO modelling.Comfortable collaborating with Finance and Procurement on consumption, forecasting, and vendor contracts.

Tooling & Data Analysis

Hands-on experience with AWS Cost Explorer, Azure Cost Management, Snowflake usage views, Databricks system tables.SQL proficiency; Python for light automation or data analysis preferred.Strong analytical skills and ability to communicate financial impact in technical terms.Advanced Excel skills for building TCO models, forecasting scenarios, and analysing budget variance.Proven ability to build actionable engineering dashboards (Power BI, Tableau, Spotfire).Experience with dedicated FinOps platforms is a strong advantage.

Soft Skills

Strong communication skills and ability to influence senior engineers.Ability to translate architectural choices into financial outcomes.Solid stakeholder management across Engineering, Architecture, Finance, and Procurement.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is 155 600,00 zł - 289 200,00 zł. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.