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Part Time Google Cloud Consultant Jobs (NOW HIRING)

Avertium is seeking a Cybersecurity Consultant for the Acceleration & Optimization team with a ... Google Cloud Platform (GCP) * Microsoft Cloud Platform * Microsoft Defender XDR * Microsoft ...

Onsite · Job Type: Part-time (W2) or 1099 independent contractor · Benefits: Our client provides ... Desired Skills · Google Cloud data stack: BigQuery, Dataform, Connected Sheets, Cloud Scheduler ...

Avertium is seeking a Cybersecurity Consultant for the Acceleration & Optimization team with a ... Google Cloud Platform (GCP) * Microsoft Cloud Platform * Microsoft Defender XDR * Microsoft ...

Automation Developer

Washington, DC · On-site

$140K - $170K/yr

Onsite · Job Type: Part-time (W2) or 1099 independent contractor · Benefits: Our client provides ... Google Cloud analytics (BigQuery, Dataform, Looker), alongside Delphi, ServiceNow, and PRISM.

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Part Time Google Cloud Consultant information

See salary details

$10

$64

$92

How much do part time google cloud consultant jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for part time google cloud consultant in the United States is $64.53, according to ZipRecruiter salary data. Most workers in this role earn between $56.25 and $76.68 per hour, depending on experience, location, and employer.

What does a part time Google Cloud consultant do?

A Part Time Google Cloud Consultant helps organizations design, implement, and manage solutions using Google Cloud Platform (GCP), but works on a part-time basis. Their responsibilities often include assessing client needs, recommending cloud strategies, migrating data and applications, and optimizing existing cloud infrastructure. They may also provide training or troubleshooting support to help teams effectively use GCP services while balancing their hours to fit part-time schedules.

How does a part time Google Cloud consultant typically collaborate with full time teams and clients?

Part-time Google Cloud Consultants often work closely with both internal teams and external clients, usually through virtual meetings, collaborative project management tools, and scheduled check-ins. They are expected to maintain clear communication, provide timely updates, and integrate their expertise into ongoing projects, despite limited weekly hours. Balancing multiple clients or projects is common, and strong organizational skills are key to ensuring deliverables are met. Consultants often participate in key decision-making discussions and may provide training or documentation to empower full-time staff.

What are the key skills and qualifications needed to thrive as a part time Google Cloud consultant, and why are they important?

To thrive as a Part Time Google Cloud Consultant, you need expertise in cloud architecture, deployment, and troubleshooting, typically supported by a degree in computer science or related field and Google Cloud certifications. Familiarity with tools such as Google Cloud Console, Kubernetes, and Terraform, as well as experience integrating APIs and managing cloud security, is essential. Strong communication, client management, and problem-solving skills enable effective collaboration and tailored solutions. These skills ensure seamless cloud implementations and client satisfaction in a dynamic, project-based environment.

What is the difference between Part Time Google Cloud Consultant vs Part Time Cloud Solutions Architect?

AspectPart Time Google Cloud ConsultantPart Time Cloud Solutions Architect
CertificationsGoogle Cloud certifications (e.g., Associate Cloud Engineer, Professional Cloud Architect)Google Cloud certifications often preferred; broader cloud certifications (AWS, Azure) may also be relevant
Work EnvironmentConsulting firms, freelance projects, client sitesIn-house teams, consulting firms, client projects
ResponsibilitiesAdvising clients on Google Cloud solutions, implementation support, optimizationDesigning cloud architectures, overseeing deployment, ensuring scalability and security

The Part Time Google Cloud Consultant primarily focuses on advising and supporting clients with Google Cloud solutions, while the Part Time Cloud Solutions Architect is responsible for designing and overseeing cloud infrastructure. Both roles require similar certifications and often work in consulting or client environments, but their core duties differ in scope and focus.

What are the most commonly searched types of Google Cloud Consultant jobs?

The most popular types of Google Cloud Consultant jobs are:

Infographic showing various Part Time Google Cloud Consultant job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 2% Part Time, and 9% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $134,230 per year, or $64.5 per hour.

Technical Advisor - Cloud, Application, Data & AI

Oran Inc

Herndon, VA • Remote

Part-time

Posted 10 days ago


Job description

Position: Technical Advisor
Employment Type: Part-Time / Hourly
Work Location: Remote
Engagement: Hourly / Consulting
Customer Focus: U.S. Federal Government

Position Overview

We are seeking an experienced Technical Advisor to provide part-time, senior-level technical guidance and solutioning support for our internal teams and Federal Government customer engagements.

The Technical Advisor will serve as a trusted technical resource responsible for developing and reviewing technical solutions, architectures, approaches, and responses across Cloud, Application, Data, Artificial Intelligence, Cybersecurity, and other emerging technology areas.

This is an advisory and solutioning-focused role. The ideal candidate should be able to quickly understand customer requirements, translate business and mission needs into practical technical solutions, and help teams develop compelling and technically sound approaches for Federal customers.

Key Responsibilities
  • Serve as an internal technical advisor and subject matter expert for Federal customer opportunities and projects.
  • Develop high-level and detailed technical solutions and solution architectures based on customer requirements.
  • Provide technical expertise across:
    • Cloud: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
    • Application Architecture & Modernization
    • Data Engineering, Data Platforms & Analytics
    • Artificial Intelligence (AI), Generative AI (GenAI) & Machine Learning
    • Application Programming Interfaces (APIs) and Microservices
    • Cybersecurity and Zero Trust
    • DevSecOps, Infrastructure as Code (IaC) and Cloud Automation
    • Containers, Kubernetes and Cloud-Native Architecture
    • Data & AI platforms, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI-enabled solutions
    • Other emerging and high-growth technologies relevant to Federal IT modernization.
  • Analyze Requests for Information (RFIs), Requests for Proposals (RFPs), Statements of Work (SOWs), Performance Work Statements (PWSs), and Statements of Objectives (SOOs) and translate requirements into technical approaches.
  • Develop technical solution concepts, architecture diagrams, technology stacks, implementation approaches, and solution narratives.
  • Support proposal solutioning, technical writing, and technical reviews.
  • Collaborate with business development, capture, proposal, recruiting, and delivery teams to develop technically competitive solutions.
  • Evaluate emerging technologies and recommend where they can provide value to Federal customers.
  • Review proposed technical approaches for feasibility, scalability, security, cost, and alignment with Federal requirements.
  • Provide technical mentorship and guidance to internal teams.
  • Participate in customer discussions, technical briefings, solution presentations, and architecture reviews when required.
  • Help identify technology partners, platforms, tools, and technical capabilities needed to support customer requirements.
Required Qualifications
  • 10+ years of progressive experience in technology, IT architecture, engineering, consulting, or technical solutioning.
  • Demonstrated experience developing technical solutions and architectures for complex enterprise environments.
  • Strong knowledge of at least two major cloud platforms, preferably AWS, Azure, and/or GCP.
  • Broad understanding of modern Application, Data, Cloud, AI, and Cybersecurity technologies.
  • Experience translating complex technical requirements into clear, actionable solution approaches.
  • Strong technical writing and presentation skills.
  • Experience supporting Federal Government customers, contracts, proposals, or solutioning efforts.
  • Ability to work independently in a part-time advisory capacity and provide expertise when needed.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
Preferred Qualifications
  • Experience with Federal IT modernization and cloud transformation.
  • Experience with Enterprise Architecture, Cloud Architecture, Solution Architecture, or Technical Architecture.
  • Knowledge of Federal technology and security frameworks such as:
    • National Institute of Standards and Technology (NIST)
    • Federal Risk and Authorization Management Program (FedRAMP)
    • Federal Information Security Modernization Act (FISMA)
    • Zero Trust Architecture
    • NIST Cybersecurity Framework
  • Experience with Artificial Intelligence, Generative AI, Machine Learning, Large Language Models, Retrieval-Augmented Generation, AI Agents, or AI governance.
  • Experience with cloud-native technologies, Kubernetes, containers, Infrastructure as Code, and DevSecOps.
  • Experience supporting Requests for Proposals (RFPs), Requests for Information (RFIs), Sources Sought, and government technical responses.
  • Relevant certifications such as:
    • AWS Certified Solutions Architect
    • Microsoft Certified: Azure Solutions Architect Expert
    • Google Cloud Professional Cloud Architect
    • Certified Information Systems Security Professional (CISSP)
    • Certified Cloud Security Professional (CCSP)
    • TOGAF certification
    • Other relevant cloud, architecture, cybersecurity, data, or AI certifications.
Ideal Candidate

The ideal candidate is a technology generalist with deep expertise in architecture and solutioning rather than someone limited to a single technology stack.

You should be able to walk into a Federal customer requirement, understand the mission and technical challenges, and answer:

“What should we build, how should we build it, what technologies should we use, and why is this the right solution?”

The candidate should be comfortable moving between Cloud + Application + Data + AI + Security + Emerging Technologies and providing practical, commercially viable recommendations.

Engagement Details
  • Part-Time
  • Remote
  • Hourly Consulting Engagement
  • Flexible hours based on project and proposal requirements
  • Primarily internal advisory and Federal customer support
  • Opportunity to support multiple Federal technology initiatives and proposals