Data Platform Engineer (Infrastructure)

Job summary

Build, operate, and scale the cloud infrastructure and developer tooling for a data platform processing Smart TV events and partner feeds. The role focuses on AWS infrastructure as code, CI/CD, Airflow orchestration, ingestion services, Snowflake administration, privacy workflows, observability, security, and cost efficiency, using technologies such as Terraform, Kubernetes, S3/Iceberg, Glue, EMR, Kinesis, and MWAA.

Benefits

Qualifications

• At least 3 years of experience in platform, infrastructure, DevOps, or cloud engineering, ideally supporting data workloads.
• Hands-on AWS experience, especially with IAM, S3, VPC and networking, KMS, and Secrets Manager; familiarity with Glue, EMR, Kinesis, MWAA, or Lake Formation.
• Experience with Terraform and managing infrastructure across multiple environments and accounts; Terragrunt is an advantage.
• Experience building CI/CD pipelines with GitHub Actions or similar tools.
• Python skills for automation and tooling, and comfort with Bash.
• Experience with Docker and some exposure to Kubernetes.
• Experience running or supporting Apache Airflow or similar orchestration tools.
• Familiarity with Snowflake or another cloud warehouse, Spark, and Iceberg or Parquet from an infrastructure operations perspective.
• Operational experience with monitoring, alerting, troubleshooting, and on-call work.
• Fluent English and strong communication skills.

Responsibilities

• Design, provision, and operate AWS infrastructure using Terraform and Terragrunt across S3, Glue, EMR, Kinesis, MWAA, Lake Formation, IAM, KMS, and networking.
• Manage CI/CD workflows, OIDC-based deployments, CodeArtifact publishing, local development environments, and internal Python SDK and CLI tooling.
• Operate and scale Airflow on MWAA and ingestion services, managing upgrades, environments, capacity, and reliability.
• Manage GDPR deletion pipelines, consent data, and PII handling with auditability and fine-grained access controls.
• Administer Snowflake roles, access controls, warehouses, S3/Iceberg integrations, service accounts, and secrets.
• Build platform monitoring, alerting, logging, lineage, and metadata tooling; participate in incident response.
• Track and optimize AWS and Snowflake costs, including storage, compute, warehouses, and job sizing.
• Apply least-privilege access, encryption, secrets management, and audit trails in line with the ISMS.
• Collaborate with infrastructure, backend, and data engineering teams to improve platform standards and workflows.

Skills

Languages

Industry

Relocation