People Tech Group
Cloud Architect
People Tech Group, Seattle, Washington, us, 98127
Hi All,Please find the below job description.Job Description:Role: Cloud ArchitectLocation: Redmond, WAClient: PTG
Key Responsibilities:Design and implement data architectures and pipelines on GCP to support real-time and batch processing.Architect scalable, high-performance cloud-based data solutions using GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Storage.Lead cloud migration efforts for data platforms, transitioning from on-premise data solutions to GCP.Collaborate with data engineering and analytics teams to define and implement data ingestion, transformation, and storage strategies.Ensure data governance, security, and compliance standards are implemented in all cloud solutions.Design and optimize data warehouses, data lakes, and other storage systems for analytical and machine learning applications.Monitor and optimize cloud data architecture for cost-efficiency, performance, and scalability.Provide technical leadership and guidance to internal teams on best practices for GCP-based data solutions.Stay current with emerging trends in cloud and data technology, recommending new tools and approaches.Automate and streamline data processes using Infrastructure as Code (IaC) tools like Terraform or Deployment Manager.
Qualifications:Required:Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.5+ years of experience in cloud architecture, focusing on data solutions, with significant experience on Google Cloud Platform (GCP).GCP certifications such as Professional Data Engineer or Professional Cloud Architect.Expertise in GCP data services including BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Spanner, and Cloud Storage.Hands-on experience with designing and implementing data lakes, data warehouses, and ETL pipelines on GCP.Strong understanding of data governance, security, and compliance, including IAM, VPC, and encryption on GCP.Experience with real-time data streaming and batch processing workflows.Proficiency in SQL and understanding of database design principles.Experience with Infrastructure as Code (IaC) tools such as Terraform or Cloud Deployment Manager.Strong analytical and problem-solving skills with the ability to lead data-focused cloud projects.Excellent communication and collaboration skills to work with cross-functional teams.Preferred:Experience with machine learning and AI-driven data solutions on GCP, including services like Vertex AI.Familiarity with DevOps practices for data, including CI/CD for data pipelines.Experience working with multi-cloud or hybrid-cloud environments.Experience with data visualization tools like Looker, Tableau, or Google Data Studio.Experience with Python, Java, or other programming languages used in data engineering.
Key Responsibilities:Design and implement data architectures and pipelines on GCP to support real-time and batch processing.Architect scalable, high-performance cloud-based data solutions using GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Storage.Lead cloud migration efforts for data platforms, transitioning from on-premise data solutions to GCP.Collaborate with data engineering and analytics teams to define and implement data ingestion, transformation, and storage strategies.Ensure data governance, security, and compliance standards are implemented in all cloud solutions.Design and optimize data warehouses, data lakes, and other storage systems for analytical and machine learning applications.Monitor and optimize cloud data architecture for cost-efficiency, performance, and scalability.Provide technical leadership and guidance to internal teams on best practices for GCP-based data solutions.Stay current with emerging trends in cloud and data technology, recommending new tools and approaches.Automate and streamline data processes using Infrastructure as Code (IaC) tools like Terraform or Deployment Manager.
Qualifications:Required:Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.5+ years of experience in cloud architecture, focusing on data solutions, with significant experience on Google Cloud Platform (GCP).GCP certifications such as Professional Data Engineer or Professional Cloud Architect.Expertise in GCP data services including BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Spanner, and Cloud Storage.Hands-on experience with designing and implementing data lakes, data warehouses, and ETL pipelines on GCP.Strong understanding of data governance, security, and compliance, including IAM, VPC, and encryption on GCP.Experience with real-time data streaming and batch processing workflows.Proficiency in SQL and understanding of database design principles.Experience with Infrastructure as Code (IaC) tools such as Terraform or Cloud Deployment Manager.Strong analytical and problem-solving skills with the ability to lead data-focused cloud projects.Excellent communication and collaboration skills to work with cross-functional teams.Preferred:Experience with machine learning and AI-driven data solutions on GCP, including services like Vertex AI.Familiarity with DevOps practices for data, including CI/CD for data pipelines.Experience working with multi-cloud or hybrid-cloud environments.Experience with data visualization tools like Looker, Tableau, or Google Data Studio.Experience with Python, Java, or other programming languages used in data engineering.