Company Background

Our client is a integral 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 Data/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;
- Stron

📌 Data/FinOps Engineer (México)
🏢 Coherent Solutions
📍 México