We are seeking a high-performing Principal Cloud Data Engineer / Data Architect to lead the design, execution, and modern transformation of our Google Cloud Platform (GCP) data architecture. In this role, you will act as a core technical leader—bridging the gap between business requirements and cutting-edge cloud solutioning.
You will take full ownership of designing scalable data pipelines, provisioning data lakehouse environments, and implementing robust data governance and security frameworks for global enterprise clients. Operating in a fast-paced, fluid setting, you will serve as the primary technical escalation point for cloud engineers, collaborate closely with cross-functional teams, and continuously drive operational excellence through end-to-end automation.
Requirements
Experience & Education:
8+ years of hands-on experience in cloud architecture, migration, strategy, and engineering (with deep specialization in GCP).
Bachelor’s degree in a quantitative or related field (Computer Science, Data Engineering, STEM) or equivalent practical experience.
A Master’s degree is a plus.
Demonstrated track record as a Technical Lead managing enterprise projects across fluid, fast-paced environments.
Technical Core Competencies:
Deep hands-on experience building scalable ETL pipelines using Apache Beam and Airflow.
Fluent in Python, JavaScript, and advanced SQL.
Broad knowledge of major cloud vendors (AWS/Azure) paired with authoritative expertise in GCP.
Hands-on experience managing cloud databases, data lakes, and data warehouses.
Certifications & Domain Knowledge:
Active GCP Certifications (Professional Cloud Architect, Qualified Data Engineer, or Cloud Engineer) are highly preferred.
Experience working with enterprise-level media data, reporting, and Google Analytics data integration within GCP is strongly desired.
Strong mastery of cost-effective cloud delivery models and infrastructure optimization.
Soft Skills & Mindset:
Exceptional proble