Data Infrastructure Engineer

You will design, build, and manage AWS infrastructure with Terraform and Infrastructure as Code practices. You will operate Databricks workspaces, develop platform services and tooling, and improve reliability through monitoring, alerting, dashboards, incident response, governance, and security controls. You will collaborate on infrastructure needs and participate in on-call support.

Responsibilities

  • Design, build, and manage AWS cloud infrastructure using Terraform, IaC, and GitOps practices
  • Operate and improve the Databricks Lakehouse platform, including workspace provisioning and configuration management
  • Build and maintain platform services and tooling for data engineers
  • Strengthen reliability through monitoring, alerting, dashboarding, and incident response
  • Implement and enforce data governance and security controls
  • Collaborate with data engineering teams on infrastructure requirements
  • Participate in on-call rotation and operational support

Requirements

  • 3+ years of infrastructure or platform engineering experience
  • Hands-on experience with Terraform and Infrastructure as Code workflows
  • Working knowledge of AWS, including IAM, VPC, S3, EC2, and multi-account setups
  • Familiarity with CI/CD pipelines such as GitHub Actions or Jenkins
  • Experience with monitoring and observability tools such as Prometheus or Grafana
  • Scripting ability in Python and/or Shell
  • Knowledge of Linux/Unix, networking, and security best practices
  • Experience with Databricks, EMR, or other data platform technologies
  • Exposure to Kubernetes and GitOps tooling such as EKS and ArgoCD
  • Familiarity with Kafka or event-based data ingestion patterns
  • Familiarity with workflow orchestration tools such as Airflow, Dagster, or Prefect
  • Experience with Spark, Hadoop, or large-scale data-processing frameworks

Benefits

  • Social insurance
  • 401K
  • Translation and interpretation support
  • Visa sponsorship
  • Relocation support
  • Annual leave
  • Personal leave
  • Super flex time with no core time

See also

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