Sutherland
Technology
GCPDataEngineerLead
Neural analysis suggests this role is
optimal for mid candidates.
“GCP Data Engineer Lead at Sutherland. Skills: GCP Data Engineering, Data Pipelines, Data Warehousing, Team Leadership. Lead data engineering team. Mentor data engineering team”
Industry & Context.
Problem-solving; Decision-making
What They're Looking For.
Must Have
7-8 Years hands-on experience in data engineering, 7-8 Years hands-on experience in data warehousing, 7-8 Years hands-on experience in large-scale software development, Bachelor's degree in Computer Science, Bachelor's degree in Information Technology, Bachelor's degree in Engineering, Bachelor's degree in a highly quantitative field
Nice to Have
Master’s degree in Computer Science, Master’s degree in Information Technology, Master’s degree in Engineering, Master’s degree in a highly quantitative field
What You'll Do.
Lead data engineering team
Mentor data engineering team
Design data pipelines
Implement data pipelines
Build data warehouses
Optimize data warehouses
Develop batch processing solutions
Develop real-time processing solutions
Collaborate with architects
Collaborate with business stakeholders
Collaborate with analysts
Collaborate with development teams
Enforce engineering best practices
Support CI/CD implementation
Support DevOps best practices
Provide technical guidance
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholder management
Communication Scope
Client communication; Stakeholder management
Process & Methodology
Delivery timelines, Technical risks
Full Job Description
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 * Lead and mentor the data engineering team for project delivery and technical excellence. * Design and implement scalable ETL/ELT data pipelines on GCP. * Build and optimize data lakes and data warehouses using BigQuery. * Develop batch and real-time data processing solutions. * Collaborate with architects, business stakeholders, analysts, and development teams. * Perform code reviews and enforce engineering best practices. * Support CI/CD implementation and DevOps best practices. * Provide technical guidance during project planning and estimation. Technical Skills * Strong hands-on experience with Google Cloud Platform (GCP) * Expertise in: * BigQuery * Git * Cloud Composer * Dataflow * Pub/Sub knowledge * Cloud Storage (GCS) * Cloud Functions * Looker knowledge * Knowledge of BI/reporting tools such as Looker * Strong experience Big query and SQL * Good understanding of data modeling and warehousing concepts * Experience with ETL/ELT frameworks and orchestration tools * Knowledge of Terraform or Infrastructure as Code (IaC) * Knowledge with CI/CD pipelines and Git-based workflows * Familiarity with Airflow and DevOps practices Leadership Skills * Experience leading technical teams and client communication * Strong problem-solving and decision-making abilities * Ability to manage delivery timelines and technical risks * Excellent communication and stakeholder management skills ## Qualifications Bachelor's or Master’s degree in Computer Science,
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