Remote Cloud & Data Platform Engineer (Azure/Databricks)

Indigo Beam, LLC

Houston (TX)

Remote

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Indigo Beam Consulting in the United States is seeking a Cloud and Data Platform Engineer to design, implement, and optimize our Azure cloud and analytics platform, including Microsoft Fabric and Azure Databricks. This role blends infrastructure engineering with data platform administration to deliver secure, scalable services for analytics, forecasting, and machine learning workloads.

You will collaborate with Data Engineering, Data Science, and IT teams, automate provisioning with IaC, and

Qualifications

  • Bachelor's degree or equivalent experience in CS/IT/Engineering.
  • 3+ years administering cloud data platforms with Azure Fabric and Azure Databricks.
  • Solid Azure engineering across networking, IAM, compute, storage, DR.
  • Hands-on Databricks administration including workspaces, clusters, jobs, SQL warehouses.
  • Experience with IaC and CI/CD practices.

Responsibilities

  • Administer Microsoft Fabric and Azure Databricks environments.
  • Configure Databricks workspaces, clusters, SQL warehouses, jobs, and Unity Catalog.
  • Design and manage Azure networking, identity, compute, storage, and serverless services.
  • Develop IaC modules with Terraform/Ansible/ARM templates and CI/CD pipelines.
  • Implement security, monitoring, and runbooks for platform reliability.

Skills

Azure engineering
Databricks administration
CI/CD pipelines
Python scripting
Networking and IAM
Governance and security

Education

Bachelor's degree in CS/IT/Engineering

Tools

Terraform
Ansible
ARM templates
Azure DevOps
GitHub Actions
Unity Catalog
Databricks

Job description

Indigo Beam Consulting in the United States is seeking a Cloud and Data Platform Engineer to design, implement, and optimize our Azure cloud and analytics platform, including Microsoft Fabric and Azure Databricks. This role blends infrastructure engineering with data platform administration to deliver secure, scalable services for analytics, forecasting, and machine learning workloads.

You will collaborate with Data Engineering, Data Science, and IT teams, automate provisioning with IaC, and

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