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[Remote] Cloud Data Engineer (Remote)

Remote · Australia Full-time

Note: The job is a remote job and is open to candidates in USA. GovCIO is a government technology company supporting the Department of Veterans Affairs’ Data Modernization initiative. The Cloud Data Engineer will design, provision, and automate cloud-based data workspaces using Databricks and VHA Data Lake integrations, while improving onboarding, access, reliability, and governance. The role also provides cross-functional collaboration, troubleshooting, documentation, and user support.

Responsibilities

  • Create cloud workspaces equipped with the most commonly used tools to ensure rapid assignment and reduced onboarding friction
  • Automate provisioning processes for user intake, workspace creation, and core Corporate Data Warehouse (CDW) access
  • Map new users to the appropriate workspace personas and configurations through an improved intake workflow
  • Build and configure workspaces in PreProd (with live data) or Prod environments, including setup of Service Principals, workgroup personas, access controls, and security configurations
  • Create and manage linked services, mount points, and integrations between Databricks and the VHA Data Lake
  • Develop and maintain Databricks catalogs to support streamlined data discovery and governed access
  • Collaborate with data platform engineers, security teams, and analytics stakeholders to ensure compliant and efficient workspace operations
  • Troubleshoot issues related to cloud provisioning, access, and workspace functionality, delivering timely and high‑quality support
  • Contribute to continuous improvement initiatives including automation enhancement, intake optimization, and workspace standardization
  • Document processes, SOPs, access models, and configurations to support operational transparency and repeatability
  • Provide white‑glove support to new and existing users, ensuring strong adoption and high user satisfaction

Skills

  • Bachelor's degree in Information Technology, or a related field. (or commensurate experience)
  • 12+ years of experience in cloud tools, Databricks, Data Lake integrations, and workspace provisioning
  • Strong analytical, problem solving, and communication skills
  • Azure Administrator and/or AWS Cloud Practitioner certification
  • Experience with SQL Server, Active Directory, Data Lake design, data governance, cloud migration, business intelligence, GitHub, Terraform, ansible and Kubernetes
  • Hands-on experience with Azure or other major cloud platforms
  • Experience with Databricks workspace administration, catalog creation, mount configurations, and cluster setup
  • Familiarity with cloud identity and access management (IAM), including Service Principals, role-based access control (RBAC), and persona-based configurations
  • Working knowledge of data lake architectures, especially Delta Lake or similar structured storage solutions
  • Experience automating cloud provisioning workflows (e.g., Terraform, ARM, Bicep, PowerShell, Python)
  • Background supporting enterprise-scale data modernization or cloud migration initiatives
  • Understanding of intake workflows, user provisioning, or data-access onboarding processes
  • Ability to collaborate with cross-functional engineering and business teams
  • Strong documentation practices and experience building standard operating procedures
  • Experience supporting public sector or healthcare data environments is a plus

Benefits

  • This position is fully remote, located in the United States.

Company Overview

  • GovCIO is a business consulting firm that focuses on cyber security, digital, data, management and mission services, and IT services. It was founded in 2010, and is headquartered in Fairfax, Virginia, USA, with a workforce of 1001-5000 employees. Its website is https://govcio.com.
  • Company H1B Sponsorship

  • GovCIO has a track record of offering H1B sponsorships, with 1 in 2025, 3 in 2024, 2 in 2023, 7 in 2022. Please note that this does not guarantee sponsorship for this specific role.
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