Google Cloud Platform Data Consultant

While GCP has smaller market share than AWS and Azure, it excels in data and machine learning services.

GCP data consultants help companies leverage BigQuery (analytics data warehouse), Dataflow, Pub/Sub for streaming, and AI/ML services.

You work with data-heavy companies - analytics platforms, data science teams, companies with massive datasets, and organizations building ML applications.

Services include data architecture design on GCP, BigQuery optimization, data pipeline development, streaming data implementations, and ML model deployment using Google AI Platform.

Rates run $125-$250 hourly with strong demand from companies choosing GCP specifically for data capabilities.

Target clients include startups building data products, enterprises with large-scale analytics needs, companies using Google Workspace seeking cloud integration, and organizations implementing ML and AI.

GCP certifications include Professional Data Engineer and Professional Machine Learning Engineer.

Success requires deep data engineering skills, understanding of GCP's unique services and pricing models, and knowledge of data warehousing and ML concepts.

Many GCP consultants come from data engineering or data science backgrounds.

The niche focus on data means less direct competition and ability to command premium rates for specialized expertise.