Description

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

Responsibilities

• Design and implement scalable data solutions on Google Cloud Platform (GCP).
• Lead the integration of diverse data sources into a unified data platform.
• Develop and enforce data governance, security, and compliance frameworks within GCP architecture.
• Optimize data storage, processing, and analytics using BigQuery, Dataflow, and Cloud Storage.
• Collaborate with data engineers and stakeholders to translate business requirements into technical solutions.

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 SQL, Python, data modeling, ETL processes, and data warehousing.
• 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.
• Bachelor's degree in Computer Science.

Preferred Skills

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

Key Skills

Education

Bachelor's degree in Computer Science