Google Cloud Platform Architect Data Engineering & Cloud Solutions

Overview

$DOE
Full Time

Skills

Data Engineering
GCP

Job Details

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for (Title) in (Location). Below is the detailed job description.

Role: Google Cloud Platform Architect Data Engineering & Cloud Solutions

Duration: Fulltime

Location: Remote

About the Role:

We are seeking a highly skilled and experienced Google Cloud Platform Architect with deep expertise in data modeling, data quality, and hands-on experience across core Google Cloud Platform services such as BigQuery, DataFlow, DataProc, and Google Cloud Platform DevOps practices. The ideal candidate will be a thought leader in cloud data architecture, capable of designing, developing, and implementing scalable and robust data pipelines and infrastructure on Google Cloud Platform.

Key Responsibilities:

  • Design and architect end-to-end data solutions using Google Cloud Platform.
  • Develop data models and optimize data storage solutions for analytical and operational workloads.
  • Implement data quality frameworks to ensure consistency, accuracy, and integrity of data.
  • Build scalable ETL/ELT pipelines using Google Cloud Platform-native tools such as DataFlow, DataProc, and BigQuery.
  • Leverage Google Cloud Platform DevOps tools for CI/CD, infrastructure-as-code, and deployment automation.
  • Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver high-quality data products.
  • Write robust, reusable, and optimized code in Python for data processing and orchestration tasks.
  • Implement security, governance, and monitoring for data solutions across Google Cloud Platform.
  • Continuously assess and improve system performance and scalability.

Required Skills & Qualifications:

  • 8+ years of experience in Data Engineering or related roles, with 3+ years in a cloud architecture capacity.
  • Strong experience in data modeling (dimensional, relational, NoSQL) and data quality management.
  • Proven expertise in Google Cloud Platform (Google Cloud Platform), particularly:
    • BigQuery
    • DataFlow
    • DataProc
    • Cloud Composer, Cloud Storage, Pub/Sub
  • Proficiency in Python for building data workflows and automation.
  • Hands-on experience with Google Cloud Platform DevOps tools: Cloud Build, Terraform/Deployment Manager, Cloud Monitoring, and CI/CD pipelines.
  • Excellent problem-solving, communication, and stakeholder management skills.
  • Experience with Agile methodologies and collaborative development environments.

Nice to Have:

  • Google Cloud Platform Professional certifications (e.g., Professional Data Engineer, Professional Cloud Architect).
  • Experience with other data processing tools like Apache Beam, Spark.
  • Exposure to data security and compliance practices in cloud environments.

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