**About the role** We are looking for a **Senior Data Engineer** to review the AWS architecture, CI/CD, and data pipelines of a media analytics platform, and mentor the engineering team in a part\-time advisory role. The mandatory requirements are 4\+ years of hands\-on AWS experience, Terraform, strong ETL and data ingestion experience, experience evaluating Claude Code or similar AI\-assisted development workflows, CI/CD and SDLC governance, availability for a part\-time role, and strong English communication skills. **Must haves** * **4\+ 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 designing or auditing **CI/CD pipelines and SDLC governance** (e.g., Alembic for schema/version control, environment separation, release gating). * **Strong data engineering depth** to provide defensible opinions on ETL / ingestion architecture (managed tools vs. custom builds). * Experience evaluating **AI\-assisted / LLM\-assisted development workflows** (e.g., Claude Code) from an engineering\-quality and cost\-governance standpoint. * Comfortable operating in a **part\-time advisory capacity (50% stepping down to 25%)** as a strong communicator who can mentor less experienced engineers. * Upper\-intermediate English level. **Nice to haves** * Prior experience working with small, fast\-moving engineering teams. * Understanding of MLOps pipelines and data science infrastructure. * Media/AdTech domain knowledge is helpful but not required. **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. **Perks and benefits** * **Growth without limits:** build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget * **Competitive compensation:** get recognition that reflects your skills and impact, with regular performance and compensation reviews * **Flexibility:** work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm * **Meaningful, modern projects:** build impactful products using modern technologies alongside global teams and leading brands * **Collaborative culture:** join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized * **Well\-being \& support:** access local well\-being programs and people\-focused support tailored to your location Job Type: Part\-time Work Location: Remote