Company Background
Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.
Project Description
We're building a FinOps program with our client, and need a capable FinOps engineer to own the tooling that makes it real. Your role will be to make it real: building durable, automated pipelines and reporting for our cloud spend, with a path toward AI-enabled cost analysis.
Technologies
- SQL (ETL/ELT)
- AWS
- Athena
- Glue
- S3
- IAM
- BI/reporting (QuickSight or comparable)
What You'll Do
- Build and own automated data pipelines that ingest AWS cost and usage data into a quarriable analytics layer;
- Athena-enable our cost data - land it in S3, catalog with Glue, keep it performant and reliable at scale;
- Model the data with consistent dimensions (project, product, service, hosting area, cost center) so it stays reusable as the program grows to cover colocation and fixed assets;
- Automate tagging governance by auditing tag coherence and policy compliance, surfacing drift, producing remediation-ready reporting;
- Build reporting for multiple audiences and scopes from team-level detail to executive rollups;
- Deliver templated, parameterized self-service reports so Finance can pull what they need without touching Cost Explorer or the AWS console;
- Support the AWS Cloud Financial Management assessment and operationalize its outputs;
- Help AI-enable our cost data so we can explore spend and optimization directly in Claude;
Job Requirements
- 4-7 years of experience in Data Engineering, DevOps, Platform Engineering, or Cloud Infrastructure roles;
- Strong SQL skills with hands-on experience designing, building, and maintaining ETL/ELT data pipelines;
- Practical AWS expertise, including Cost & Usage Reports, Athena, Glue, S3, IAM, and familiarity with AWS Cost Explorer;
- Experience with IaC using Terraform or AWS CloudFormation;
- Proficiency in Python for automation, scripting, and data processing;
- Strong data modeling skills, with the ability to design scalable, reusable data models rather than report-specific solutions;
- Experience with BI and reporting tools, such as Amazon QuickSight or similar platforms (e.g., Power BI, Tableau, Looker);
- Automation-first mindset, with a focus on building reliable, repeatable processes instead of manual workflows;
- Understanding of finance fundamentals, including CAPEX vs. OPEX, budgeting cycles, and cost allocation methodologies;
- Comfortable leveraging AI/LLM tools to improve productivity and workflows; experience with Claude is a strong advantage;
Nice to Have
- FinOps Foundation certification;
- AWS certifications;
- CUDOS / Cloud Intelligence Dashboards;
- Colocation or fixed-asset cost/asset exposure;
- Ad-tech or high-volume infrastructure background;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
