GCP Data Architect

Roles and Responsibilities

GCP Data Architect with professional experience in implementation of data platforms necessary to process and analyze large and complex datasets by using GCP technologies.

Core Responsibilities:

• Design, develop and implement data ingestion pipelines to collect, process, and store large and complex datasets using GCP technologies.
• Design and implement data platforms using GCP services such as Cloud Storage, BigQuery, and Dataflow.
• Develop data pipelines to ingest, transform, and load data from various sources into GCP.
• Optimize data processing performance and efficiency using GCP tools and technologies.
• Collaborate with data scientists and analysts to design and implement data models and algorithms for analysis and machine learning.
• Ensure the security, availability, and reliability of Cloud Data Platform systems.

Required Qualifications:

• Bachelors Engineering Degree in Computer Science, Information Systems, or relevant discipline.
• 8 to 15 years of relevant technology experience.
• Deep experience in GCP cloud data development.
• Experience with GCP Cloud Data technologies such as Cloud Storage, BigQuery, Dataflow, GCP tools, Spark, and Kafka.
• Proficiency in programming languages such as Scala, Java or Python
• Experience with distributed computing and database systems.
• Experience with troubleshooting data issues and identifying root causes of performance bottlenecks.
• Aligned with the latest trends and technologies in data engineering and GCP.
• Strong problem-solving and analytical skills.
• Excellent verbal & written communication and collaboration skills.
• Customer-focused, react well to changes, work with teams and be able to multitask on multiple products and projects.

Must be self-motivated and objective driven. He / She should be ready to learn new domain and technology based on organization strategy.