Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and implementation of enterprise-scale cloud data platforms on Google Cloud Platform (GCP).
Architect and deliver scalable Data Lakes, Data Warehouses, Data Marts, and Analytics Platforms.
Provide technical leadership, establish engineering best practices, mentor data engineering teams, and collaborate with cross-functional stakeholders to translate business needs into data solutions.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
8+ years overall experience in Data Engineering, ETL/ELT development, and data platform delivery.
5+ years hands-on experience with Google Cloud Platform (GCP) including BigQuery, Dataflow, Dataproc, and related services.
Expert-level SQL and strong Python skills; experience with CI/CD pipelines, GitHub, Terraform, and Infrastructure-as-Code.
Ideal Candidate Profile
Extensive experience architecting and operationalizing large-scale data ecosystems within GCP, including Data Lakes, Warehouses, and Analytics Platforms.
Proven ability to lead and mentor engineering teams, implement governance, and drive technical discussions among multiple stakeholders.
Strong expertise in cloud-native distributed data processing architectures and familiarity with agile methodologies for project execution.