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Google Cloud (Google Cloud Platform), Data & AI Consultant (Google Cloud Platform)

HPTech Inc.United States🇺🇸United StatesPosted 17 Aug 2026

Why This Role Stands Out

This role offers a fantastic opportunity to leverage your Google Cloud, Data, and AI expertise to architect innovative solutions and guide clients as a trusted advisor. You'll thrive here if you're a driven consultant eager to expand your skills in cutting-edge cloud technologies and contribute to impactful projects. Apply now to join a dynamic team and shape the future of cloud-native solutions.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title : Google Cloud Platform (Google Cloud Platform),, Data & AI Consultant (Google Cloud Platform)

Location : Remote – EST

Duration : 12 Months Contract  

 

 

Role Summary

We are seeking a customer-focused Cloud, Data & AI Consultant with strong expertise in Google Cloud Platform (Google Cloud Platform), cloud infrastructure, modern data platforms, AI/ML, and application modernization. The candidate will serve as a trusted advisor, helping customers design, implement, and optimize scalable cloud-native solutions while enabling engineering teams through technical leadership and best practices.

 

Key Responsibilities

  • Architect and implement cloud solutions on Google Cloud Platform (Google Cloud Platform).
  • Design scalable infrastructure leveraging Kubernetes (GKE), networking, load balancers, API gateways, and security services.
  • Build modern data platforms using Lakehouse architecture, BigQuery, Delta Lake, Iceberg, and Spark/PySpark.
  • Develop real-time data solutions using Apache Kafka, CDC, Debezium, and event-driven architectures.
  • Design and deploy AI/ML and Generative AI solutions using Vertex AI and modern MLOps practices.
  • Design and develop cloud-native applications using Java, Python, React, Spring Boot, and Microservices.
  • Create CI/CD pipelines, Infrastructure as Code (Terraform), and platform automation.
  • Build analytics and reporting solutions using Tableau, Coginiti, Strategy and other BI tools.
  • Lead customer workshops, architecture reviews, and cloud modernization initiatives.
  • Create reusable reference architectures, accelerators, and technical guidance for field engineering teams.

 

Required Skills

  • Google Cloud Platform Cloud Architecture & Infrastructure
  • Kubernetes (GKE), Networking, Load Balancers
  • API Management & API Gateways (Apigee, Kong, etc.)
  • Apache Kafka & CDC Technologies
  • Lakehouse & Data Platform Architecture
  • Apache Spark / PySpark
  • AI/ML, Generative AI, Vertex AI, MLOps
  • Java, Python, React
  • Terraform, CI/CD, DevOps
  • BigQuery and Enterprise Data Analytics
  • BI Tools: Looker, Power BI, Tableau

 

Preferred Qualifications

  • 7+ years of cloud consulting, architecture, or engineering experience.
  • Google Cloud Platform Professional Cloud Architect, Data Engineer, or ML Engineer certifications.
  • Experience leading enterprise cloud, data, and AI transformation programs.
  • Strong communication, stakeholder management, and customer advisory skills.

 

Ideal Candidate

A hands-on consultant with expertise across Google Cloud Platform, Kafka, API Gateways, Lakehouse, BI, AI/ML, Java, Python, React, and Spark, capable of driving enterprise-scale cloud, data, and AI modernization initiatives from strategy through implementation.

Skills

Microservices
Spring
Spring Boot
Looker
MLOps
Tableau
Apache
Apache Spark
BigQuery
Generative AI
Google Cloud
Java
Kafka
Kubernetes
Power BI
Python
React
Stakeholder Management
Terraform

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