Data / Analytics Infrastructure Engineer (Middle / Middle+)

We're looking for an engineer to support and grow our analytics platform — ClickHouse, Kafka/MSK (CDC), Airflow, Superset, and a recommendation stack running on ECS Fargate.

• What you'll do
• Own and evolve your part of the analytics infrastructure end to end: keeping the data pipelines healthy, improving reliability, and shipping changes safely through code. You'll work close to production data, so care and precision are part of the job.

• What we're looking for
• Solid Terraform — modules, state management, plan reviews
• Hands-on AWS: IAM, VPC/networking, ECS/Fargate, S3, Secrets Manager, KMS
• Operational experience with at least one columnar analytical database (ClickHouse, BigQuery, or Redshift)
• Experience with a streaming platform (Kafka/MSK); familiarity with CDC/Debezium is a strong plus
• Linux, Docker, CI/CD (GitLab CI), and comfortable scripting in Python/Bash
• Least-privilege thinking and a careful approach to production data as a default way of working

• Nice to have
• Airflow, Superset or other BI tools, MongoDB Atlas, observability (Prometheus / Grafana / CloudWatch), and experience operating in a shared AWS account with strict access boundaries.
• About the level
• This is a middle / middle+ role. You should be able to run your own area independently — but without direct access to dev/prod clusters (intentionally scoped permissions). We value attention to blast radius, a habit of reading other people's code, and documenting your own.