Cloud Data Platform Engineer — AWS, Kubernetes & Airflow

United States Digital Space LLC

United States

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Wellbeing leave day
Parental leave
Volunteer leave
Professional development benefits

Job summary

Macquarie is seeking an experienced Platform Engineer to build, run and enhance the AWS-based data platform that ingests, processes and analyzes data for internal teams. You will deploy new tools, improve CI/CD pipelines with Kubernetes, Airflow, ArgoCD, Helm and Terraform, and provide secure, reliable self-service capabilities for data workloads.

You will collaborate with internal teams to ensure scalable data ingestion, ETL, and analytics use cases, while maintaining strong security and

Qualifications

  • Hands-on background in AWS cloud, DevOps, platform engineering or data platform engineering.
  • Strong working knowledge of AWS services and concepts such as IAM, S3, Glue, RDS, CloudFormation and secure cloud operations.
  • Practical skills across Docker and Kubernetes, including tools such as ArgoCD and Helm.
  • Familiarity with Airflow or similar data orchestration tools, as well as CI/CD tools such as Bamboo, GitHub Actions or Argo Workflows.

Responsibilities

  • Build, run and improve the AWS-based data platform enabling ingestion, ETL, orchestration and analytics workloads.
  • Deploy new tools, improve platform standards, automate operational processes and enhance CI/CD pipelines.
  • Support internal users through a shared service model, helping teams use the platform securely, reliably and at scale.

Skills

AWS Cloud
DevOps
Platform engineering
Data platform engineering
Kubernetes
ArgoCD
Helm
Airflow
CI/CD
Terraform
CloudFormation
Docker
Spark
DBT
Big data concepts
Communication skills

Tools

ArgoCD
Helm
Docker
Kubernetes
Airflow
Bamboo
GitHub Actions
Argo Workflows
Terraform
CloudFormation
Spark
Starburst
Presto
Hive
DBT

Job description

Macquarie is seeking an experienced Platform Engineer to build, run and enhance the AWS-based data platform that ingests, processes and analyzes data for internal teams. You will deploy new tools, improve CI/CD pipelines with Kubernetes, Airflow, ArgoCD, Helm and Terraform, and provide secure, reliable self-service capabilities for data workloads.

You will collaborate with internal teams to ensure scalable data ingestion, ETL, and analytics use cases, while maintaining strong security and

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