Google Cloud Platform Data Architect

Overview

Accepts corp to corp applications
Contract - W2
Contract - 27 day((s))

Skills

GCP Data Architect

Job Details


Hi

Professional greetings from E-IT please share with updated resume

Role: Google Cloud Platform Data Architect

Location: Remote

Mode: Contract
Client : UST Global

Detailed JD:

We are seeking a highly skilled Google Cloud Platform Data Architect to design, implement, and manage our organization's data infrastructure, with a specific focus on leveraging Google Cloud's Vertex AI Search and Agent Builder capabilities. This role will bridge the gap between data management practices and cutting-edge AI applications, enabling enhanced search experiences, RAG systems, and AI-powered recommendations to drive business growth.

Experience:

    • 10+ years of industry experience designing and managing data solutions.
    • Proven experience with Google Cloud Platform (Google Cloud Platform) services (BigQuery, Dataflow, Cloud Storage, etc.).
    • Hands-on experience with Vertex AI, specifically implementing Vertex AI Search and Vector Search.
    • Experience designing and building data architectures that support AI and ML applications.
    • Proficiency in programming languages such as Python, SQL, and Java.

Key Responsibilities:

  • Architecture Design: Design and architect scalable, secure, and cost-effective data solutions on Google Cloud Platform (Google Cloud Platform) that support both traditional analytics and advanced AI/ML workloads.
  • Vertex AI Search Implementation: Lead the design and implementation of enterprise-grade search experiences using Vertex AI Search (part of Vertex AI Agent Builder) across websites, intranets, and RAG systems for generative AI applications.
  • Data Pipeline Development: Design and build robust, end-to-end data pipelines (ingestion, transformation, storage) that feed high-quality data to the Vertex AI systems using services like BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
  • Generative AI Integration: Collaborate with data science and engineering teams to translate business requirements into AI-based solutions, including building and deploying generative AI models (e.g., for chatbots, content creation) within the Vertex AI framework.
  • Vector Search Expertise: Implement vector search and embeddings for semantic search and recommendation systems, organizing data by meaning to provide highly relevant results in milliseconds.
  • Data Governance & Security: Establish data policies, standards, and security protocols to ensure data accuracy, accessibility, security, and compliance with industry regulations within the Google Cloud Platform environment.
  • Performance Optimization: Monitor and optimize the performance of data infrastructure and AI search systems, troubleshooting complex technical issues as they arise.
  • Technical Leadership & Collaboration: Provide technical leadership and documentation (e.g., architecture diagrams, data models) to cross-functional teams and stakeholders, ensuring alignment between data strategies and organizational goals.

Technical Knowledge:

    • Deep understanding of data modeling, data warehousing, data lakes, and ETL processes.
    • Familiarity with ML operations (MLOps) practices and tools for model lifecycle management (training, evaluation, deployment, monitoring).
    • Knowledge of networking, cybersecurity fundamentals, and compliance standards.

Thanks Regards

Maruthu

Technical Recruiter

E-IT Professionals Corp.

17199 N Laurel Park Dr. Ste 402, Livonia, MI 48152

380 Wellington St, Tower B, Ste 603, London ON N6A 5B5, Canada
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