Sr. FinOps Cloud Engineer

Meet the Moment with Alteryx We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation. You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible. If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here. We are looking for problem solvers, innovators, and analytical thinkers who challenge the status quo. If you are an experienced technologist passionate about the intersection of cloud architecture, big data, machine learning workloads, and financial accountability, this role is for you. As a Senior FinOps Engineer, you will serve as the technical backbone and subject matter expert for cloud financial operations across our global engineering organization. This role bridges deep cloud infrastructure mechanics with data engineering, algorithm design, and business economics. You will architect automated reporting pipelines, develop unit-cost metrics, govern procurement and operational policies, introduce FinOps practices for AI workloads, and partner closely with engineering squads, platform teams, and finance leaders to foster a culture of cost-aware engineering. Key Responsibilities 1. Cloud Cost Visibility, Data Analytics & Anomaly Detection Manage, curate, and normalize end-to-end cloud cost and usage datasets, ensuring high data fidelity, consistency, and standardized governance across multi-cloud environments. Define, build, and maintain automated cost, usage, and efficiency dashboards using Apache Superset, supported by SQL and data extraction pipelines. Design and deploy automated anomaly detection algorithms, statistical models, and alerting mechanisms to detect spending spikes, runaway workloads, and unexpected cost regressions in near real time. Benchmark, track, and report on cloud consumption, forecast variance, unit economics, and realized savings to engineering teams and leadership. Implement and refine tagging governance, business cost-allocation models, and unit economics metrics, such as cost per customer, cost per query, or cost per pipeline run. 2. Architecture, Automation & Spend Optimization Own and optimize cloud financial management platforms for reporting, cost optimization, and performance measurement. Our environment includes Cloudability, PointFive, ProsperOps, and Larridin; experience with comparable platforms is welcome. Design, build, and maintain automation workflows and scripts to identify and reclaim idle, underutilized, or orphaned resources, including compute instances, unattached volumes/IPs, outdated snapshots, and development/test environments.