GCP Data Architect
Required Skills: GCP Data Architect
Job Description
Key Responsibilities:
• Design and architect scalable telemetry data storage and analytics systems using GCP services.
• Define and implement data architecture strategies for real-time and batch data processing.
• Ensure optimal performance, scalability, and cost-efficiency of data storage and processing solutions.
• Develop and enforce data governance policies and best practices.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Provide architectural guidance and mentorship to data engineering teams.
• Set up monitoring, alerting, and automated reporting systems to ensure data quality and system reliability.
• Evaluate and recommend new technologies and tools to enhance data architecture.
Required Skills and Qualifications:
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 10+ years of experience in data architecture, big data technologies, and analytics.
• Strong expertise in Google Cloud Platform (GCP) services, including but not limited to BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Functions.
• Proficiency in event streaming platforms such as Apache Kafka or Event Hub.
• Experience with data pipeline orchestration tools like Apache Airflow or Google Cloud Composer.
• Strong programming skills in languages such as Python, Java, or Scala.
• Solid understanding of SQL and experience with database technologies.
• Knowledge of monitoring and logging tools like Prometheus, Grafana, or Stackdriver.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
Preferred Skills:
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience with CI/CD pipelines and DevOps practices.
• Experience with relevant projects in a large retail company
Required Skills: GCP Data Architect
Job Description
Key Responsibilities:
• Design and architect scalable telemetry data storage and analytics systems using GCP services.
• Define and implement data architecture strategies for real-time and batch data processing.
• Ensure optimal performance, scalability, and cost-efficiency of data storage and processing solutions.
• Develop and enforce data governance policies and best practices.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Provide architectural guidance and mentorship to data engineering teams.
• Set up monitoring, alerting, and automated reporting systems to ensure data quality and system reliability.
• Evaluate and recommend new technologies and tools to enhance data architecture.
Required Skills and Qualifications:
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 10+ years of experience in data architecture, big data technologies, and analytics.
• Strong expertise in Google Cloud Platform (GCP) services, including but not limited to BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Functions.
• Proficiency in event streaming platforms such as Apache Kafka or Event Hub.
• Experience with data pipeline orchestration tools like Apache Airflow or Google Cloud Composer.
• Strong programming skills in languages such as Python, Java, or Scala.
• Solid understanding of SQL and experience with database technologies.
• Knowledge of monitoring and logging tools like Prometheus, Grafana, or Stackdriver.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
Preferred Skills:
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience with CI/CD pipelines and DevOps practices.
• Experience with relevant projects in a large retail company
