Google Cloud Platform Data Architect

Overview

Remote
Full Time

Skills

data modeling
GCP
data engineering
BigQuery
Dataproc
DataFlow
Pub/Sub
Cloud Composer

Job Details

Job Title: Google Cloud Platform Data Architect

Location: Remote

Duration: / Term: Fulltime

Job Description:

Experience Desired: 10+ Years.

Key required skills

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:
  1. BigQuery
  2. DataFlow
  3. DataProc
  4. 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 environment


Key Skills:

Google Cloud Platform, Dataproc, Dataflow, pub/sub, cloud composer, BigQuery, cloud storage, Data Modeling

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