Google Cloud Platform Data Architect

Overview

Remote
$DOE
Full Time

Skills

GCP
etl
Data Modeling
DATA INTEGRATION

Job Details

Hi Job Seekers,
Hope you are doing great!!
Currently, we have a job opening of Google Cloud Platform Data Architect - Remote for a Full time role with our client. If you are interested then please reply me with your updated resume.

Qualifications:
  • 10-14 years of professional experience in data architecture and engineering, with a focus on client handling.
  • Proven experience with Google Cloud Platform (Google Cloud Platform) services.
  • Strong expertise in data modeling, ETL processes, and data integration.
  • Experience in client-facing roles, demonstrating effective communication and interpersonal skills.
  • Proficiency in programming languages such as Python, SQL, or Java.
  • Google Cloud certification(s) is a plus.

    Key Responsibilities:

  • Client Engagement: Act as a primary point of contact for clients, understanding their data-related requirements, and providing consultative services to address their business challenges.
  • Data Architecture Design: Collaborate with clients to design scalable and efficient data architectures on the Google Cloud Platform, aligning solutions with their business objectives.
  • Google Cloud Platform Implementation: Lead the implementation of data solutions on Google Cloud Platform, leveraging Google Cloud Platform services to meet client needs while ensuring optimal performance and reliability.
  • Client Communication: Maintain clear and open communication with clients throughout the project lifecycle, providing updates, addressing concerns, and ensuring client satisfaction.
  • Data Modeling: Develop and maintain data models, ensuring alignment with client expectations and industry best practices. Implement data governance and security measures in accordance with client requirements.
  • Data Integration: Design and implement effective data integration processes, ensuring seamless flow and accessibility of data across different systems and platforms to meet client-specific use cases.
  • Performance Optimization: Identify and address performance bottlenecks, troubleshoot data-related issues, and implement optimizations to enhance overall system performance based on client feedback.
  • Collaboration: Work closely with internal cross-functional teams and clients to understand and align with their requirements, fostering a collaborative and client-centric approach.
  • Documentation: Create and maintain comprehensive documentation for data architecture, processes, and best practices, ensuring clarity and transparency for clients.
    Thanks & Regards,
    Kashif Nabi
    Sr. Recruitment Executive
    VBeyond Corporation I PARTNERING FOR GROWTH
    Website: ;/div>

    Note: VBeyond is fully committed to Diversity and Equal Employment Opportunity.