> Markdown version of [/jobs/ext/2105867-data-ai-consultant](https://www.wearedevelopers.com/jobs/ext/2105867-data-ai-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Consultant - **Company:** Hptech Inc. - **Location:** East Coast of the United States, United States (Remote available) - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, BigQuery, Cloud Computing, Cloud Engineering, Information Technology Consulting, Continuous Integration, Data Architecture, Data Infrastructure, DevOps, Python (Programming Language), Machine Learning, Power BI, Cloud Services, Tableau (Software), Enterprise Data Management, Google Cloud, Load Balancing, Spring Cloud, ReactJS, Apache Spark, Spring-boot, Generative AI, HybridCloud, Apigee, Event Driven Architecture, Data Lakes, Pyspark, Debezium, Kubernetes, Infrastructure Automation Frameworks, Real Time Data, Apache Kafka, Machine Learning Operations, Api Gateway, Terraform, Looker Analytics, Api Management, Microservices - **Published:** August 18, 2026 - **Apply:** https://www.dice.com/job-detail/637f9578-7da6-4d9d-b121-c8092998dda2 ## About the Role * 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. ## Description 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., * 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)