Architect GCP Data Engineer

Experience:

8+ Years

Location:

Remote

Skill Sets:

Data Engineering | GCP | Solution Architect | Team Leading | SQL | Artificial Intelligence (AI)

Job Description:

• 8+ years of overall experience in Data Engineering, with at least 3–4 years of hands-on experience on Google Cloud Platform (GCP).
• Strong expertise in GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Cloud Storage, and Dataproc.
• Proven experience in architecting scalable data lakes, data warehouses, and real-time data processing systems
• Hands-on experience with AI/ML integrations, or similar ML frameworks.
• Experience designing and implementing data pipelines to support AI/ML models, feature engineering, and model deployment workflows.
• Strong proficiency in Python, SQL, and Spark for data processing and transformation.
• Experience working with structured, semi-structured, and unstructured data.
• Demonstrated experience leading and mentoring a team of data engineers, conducting code reviews, and defining best practices.
• Experience in stakeholder management, requirement gathering, and translating business needs into technical solutions.
• Strong understanding of data governance, security, and compliance best practices.
• GCP certifications such as Google Professional Data Engineer or Google Professional Cloud Architect (preferred).