Sutherland is seeking an experienced and highly skilled GCP Data Engineer Lead to design, develop, and manage scalable cloud-based data solutions on Google Cloud Platform (GCP). The candidate will lead the data engineering team, drive architecture decisions, and ensure best practices in data pipeline development, data warehousing, and cloud-native solutions.
The ideal candidate should possess strong technical expertise in GCP services, modern data engineering practices, and team leadership capabilities.
Key Responsibilities
Technical Skills
Leadership Skills
Bachelor's or Master’s degree in Computer Science, Information Technology, Engineering, or a highly quantitative field.
Experience: 7-8 Years hands-on experience in data engineering, data warehousing, or large-scale software development.
All your information will be kept confidential according to EEO guidelines.
The Lead Data Engineer will modernize data ingestion and automation for a healthcare data platform, building scalable solutions on Google Cloud Platform to enhance enterprise analytics.
As a Staff Data Engineer, you will design and build data solutions, manage cloud data infrastructure, and ensure data quality and governance across systems.
Lead the design and implementation of scalable data ingestion architectures using Snowflake and AWS, ensuring high-quality data pipelines for critical business workflows.
Lead the design and implementation of ETL pipelines and data transformation processes, ensuring data readiness for AI workloads while mentoring team members in best practices.
Lead the design and development of ETL pipelines and data transformation processes, ensuring data integrity and readiness for AI workloads across multiple ERP systems.
