Senior Cloud Data Engineer (Remote)

GovCIO; United States; Remote; USD 195,000 - 225,000; Full time

Job summary

GovCIO is seeking an experienced Senior Cloud Data Engineer to support the VA Data Modernization initiative. This fully remote role is located in the United States and focuses on designing, provisioning, and automating cloud-based data workspaces using Databricks and modern cloud tools.

Responsibilities include building scalable workspaces, migrating from on-prem to cloud, automating provisioning, and coordinating with data platform security and analytics teams to ensure governed access and

Qualifications

• Bachelor’s degree in IT, Engineering, or a related field with 12+ years of experience (or commensurate experience).
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Create cloud workspaces with common tools for rapid onboarding.
• Lead migration from on-prem to cloud-based solutions.
• Document network designs, policies, and procedures.
• Automate provisioning for user intake, workspace creation, and data access.
• Lead data platform, security, and analytics teams for compliant operations.
• Map new users to workspace personas and configurations.
• Build workspaces in PreProd and Prod with principals, RBAC, and security.
• Create and manage Databricks catalogs, linked services, mounts, and integrations with the VHA Data Lake.
• Troubleshoot cloud provisioning, access, and workspace issues; provide high-quality support.
• Contribute to automation, intake optimization, and workspace standardization.
• Document SOPs and configurations to support repeatability.
• Provide white-glove user support and drive adoption.

Skills

Analytical thinking

Problem solving

Communication skills

Education

Bachelor's degree in IT/Engineering or related field

Tools

Azure

Databricks

SQL Server

ADF

Python

Spark SQL

Synapse

Power BI

Terraform

ARM

Bicep

PowerShell

Azure Storage

Azure Event Hub

Job description

GovCIO is seeking an experienced Senior Cloud Data Engineer to support the Department of Veterans Affairs (VA) Data Modernization initiative. This role focuses on providing the necessary subject matter expertise to design, provision, and automate cloud-based data workspaces. The ideal candidate is an expert in modern cloud tools, Databricks, VHA Data Lake integrations, and automated workspace creation. This position is fully remote, located in the United States.

Responsibilities

• Create cloud workspaces equipped with the most commonly used tools to ensure rapid assignment and reduced onboarding friction.
• Lead migration efforts from on-premises infrastructure to cloud-based solutions.
• Develop and maintain documentation for network designs, policies, and procedures.
• Automate provisioning processes for user intake, workspace creation, and core data access.
• Lead teams of data platform engineers, security teams, and analytics stakeholders to ensure compliant and efficient workspace operations.
• Map new users to the appropriate workspace personas and configurations.
• 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.
• 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.

Qualifications

Required Skills and Experience

• Bachelor's degree plus 12 years experience in Information Technology, Engineering, or a related field. (or commensurate experience)
• Strong analytical, problem-solving, and communication skills.

Preferred Skills and Experience

• Expertise with Azure or other major cloud platforms.
• Certifications: Databricks Certified, Azure Data Engineer, AZ900 - Azure fundamentals
• Experience with SQL Server/SQL Server Admin, Azure, ETL, Relational Databases, AWS Cloud Platforms, ADF, Python, Spark SQL, Synapse, Azure Storage, Azure Eventhub, Azure Logic Apps, Database Design, Sharepoint, Power BI.
• 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.
• Strong knowledge and experience with data lake architectures, especially Delta Lake or similar structured storage solutions.
• Experience automating cloud provisioning workflows (e.g., Terraform, ARM, Bicep, PowerShell, Python).
• 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.

Clearance Required

• Ability to obtain and maintain a suitability/Public Trust

Posted Salary Range

USD $195,000.00 - USD $225,000.00 /Yr.