Data Engineering & Infrastructure Lead ID88014
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
ABOUT THE ROLE
We are looking for a part‑time Data Engineering and Infrastructure Lead to audit AWS architecture, CI/CD processes, and ETL pipeline decisions in an advisory capacity. This person weighs managed tooling against custom builds, reviews SageMaker-based MLOps pipelines, and mentors the team on engineering standards. Evaluating AI‑assisted development workflows is part of the role.
WHAT YOU WILL DO
- Audit the current AWS architecture across live applications (MAT / Signal IQ and the Impact Engine), including ECS/ECR, RDS (Postgres), S3, VPC, CloudFront/SSO, and SageMaker-based MLOps pipeline design.
- Review the CI/CD process and end‑to‑end app development lifecycle, recommending SDLC governance layers (schema versioning,



environment separation, release gating).
- Evaluate how the team uses Claude Code (PR generation, automated reviews, token/cost management) to confirm output meets professional engineering standards.
- Provide an early technical opinion on ETL / data‑ingestion pipeline architecture (managed ELT tooling vs. custom build).
- Mentor and accelerate the day‑to‑day infrastructure build team, focusing on AWS, DevOps, CI/CD, and data engineering practices.
- Set out recommendations and technical direction where the audit surfaces necessary changes to the current build.
- Report findings and recommendations directly to leadership, framing high‑level risk and readiness.

MUST HAVES
- 6+ years of deep, current hands‑on experience with AWS: ECS/Fargate, ECR, RDS (Postgres), S3, SageMaker, EventBridge, VPC/ALB/CloudFront, IAM.
- Fluency in Infrastructure-as-code, specifically Terraform.
- Proven track record des

📌 Strategy & Consulting | Data Engineering Consulting Practitioner - Process Mining (Quilmes)
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📍 Quilmes