Enterprise Data Solution Architect | Google Cloud Platform (GCP) & Generative AI | Remote

Location

Remote

Job Category

• Information Technology (IT) & Software
• Cloud Computing
• Data Engineering & Analytics
• Artificial Intelligence & Machine Learning

Job Overview

A leading organization is seeking an experienced Enterprise Data Solution Architect to join its remote technology team. This role is ideal for professionals with deep expertise in Google Cloud Platform (GCP), enterprise data architecture, and Generative AI who are passionate about designing scalable, secure, and intelligent cloud-based data platforms.

The successful candidate will lead the design and implementation of enterprise-grade data solutions, modern cloud architectures, and AI-powered applications. Working with cutting-edge technologies such as Vertex AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern data engineering tools, you will play a key role in delivering innovative data and AI solutions. This position offers excellent career growth, exposure to advanced cloud technologies, and continuous professional development.

Key Responsibilities

• Design and implement enterprise-scale data architecture using Google Cloud Platform (GCP).
• Develop scalable data pipelines and cloud-native data solutions.
• Architect modern data lakes, data warehouses, and analytics platforms.
• Build and optimize solutions using BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Cloud Spanner.
• Design and implement Generative AI applications using Vertex AI, LLMs, and Retrieval-Augmented Generation (RAG).
• Develop AI-powered search solutions using Vector Search, LangChain, and LlamaIndex.
• Build and maintain data transformation workflows using Dataform or dbt.
• Implement data governance and metadata management using Dataplex.
• Design and manage MLOps workflows with Vertex AI Pipelines or Kubeflow.
• Collaborate with cross-functional teams to deliver secure, scalable, and high-performance cloud solutions.
• Ensure cloud architecture follows security, governance, and best practices.

Requirements & Qualifications

Education

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.
• Master’s degree is an advantage.

Experience

• 8+ years of experience in Data Architecture.
• 3+ years of hands-on experience with Google Cloud Platform (GCP).

Technical Skills

• Google Cloud Platform (GCP)
• BigQuery
• Dataflow
• Dataproc
• Pub/Sub
• Cloud Storage
• Cloud Spanner
• Vertex AI
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Vector Search
• LangChain
• LlamaIndex
• Python
• Java
• Go
• Dataform
• dbt
• Dataplex
• MLOps
• Vertex AI Pipelines
• Kubeflow
• Enterprise Data Architecture
• Cloud Solution Architecture
• Data Engineering

Preferred Skills

• Enterprise cloud migration and modernization.
• AI solution architecture and cloud-native application development.
• Data governance and enterprise analytics.
• Experience working in Agile development environments.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Leadership and solution architecture expertise.
• Ability to collaborate across global remote teams.
• Strong documentation and presentation skills.

Salary, Benefits & Career Growth

Benefits

• Fully remote work opportunity.
• Exposure to enterprise-scale cloud and AI transformation projects.
• Work with cutting-edge Generative AI and Google Cloud technologies.
• Collaborative, innovative, and technology-driven work environment.
• Benefits provided according to company policy.

Career Growth

• Advance your expertise in enterprise cloud architecture, AI, and data engineering.
• Lead large-scale digital transformation and cloud modernization initiatives.
• Gain hands-on experience with modern Generative AI, MLOps, and cloud-native platforms.
• Career progression into Principal Solution Architect, Enterprise Architect, AI Architect, Chief Data Architect, or Cloud Practice Lead roles.

Application Process

Application Process (Website)

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HR Email for Application

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