Description

You will design, architect, and implement scalable data solutions on Google Cloud Platform to meet organizational strategic needs.

Design and implement scalable data solutions on Google Cloud Platform. Integrate diverse data sources into a unified data platform to ensure seamless flow and accessibility. Develop and enforce data governance, security, and compliance frameworks within GCP architecture. Optimize data storage, processing, and analytics using BigQuery, Dataflow, and Cloud Storage. Conduct regular audits of data architecture to ensure alignment with business goals.

Required Skills

• 12-15 years of experience in data architecture with extensive expertise in Google Cloud Platform.
• Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and IAM.
• Proficiency in data modeling, ETL processes, and data warehousing.
• Strong command of SQL and Python.
• Experience with version control (Git), CI/CD pipelines, and automation tools.
• Knowledge of data governance, security best practices, and cloud compliance.
• Familiarity with big data technologies such as Apache Hadoop and Spark.
• Experience with data visualization tools like Looker or Power BI.

Preferred Skills

• Google Cloud Professional Data Engineer or Professional Cloud Architect certification.

Key Skills

Education

Bachelor's degree in Computer Science