GCP Data Engineer Lead

Role Overview

Join a high-impact data engineering team responsible for building modern, cloud-native data platforms that power business intelligence and analytics initiatives. In this leadership role, you will design scalable data architectures, guide the development of robust ETL/ELT pipelines, and champion engineering best practices across projects.

What You Will Do

Design scalable data architectures, guide the development of robust ETL/ELT pipelines, and champion engineering best practices across projects. Collaborate closely with cross-functional stakeholders to deliver reliable, high-performance data solutions while mentoring a team of engineers and driving technical excellence.

Why It Might Be a Fit

This is an excellent opportunity for an experienced data professional who thrives in a fast-paced environment, enjoys solving complex data challenges, and is passionate about leveraging Google Cloud Platform technologies to create scalable and future-ready solutions.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or another quantitative discipline.
• 7–8 years of hands-on experience in data engineering, data warehousing, or large-scale software development.
• Strong expertise with Google Cloud Platform, including BigQuery, Cloud Composer, Dataflow, Cloud Storage (GCS), Cloud Functions, and Pub/Sub.
• Solid SQL skills and extensive experience designing and optimizing data warehouses and data models.
• Experience with ETL/ELT frameworks, workflow orchestration tools such as Airflow, and cloud-native data processing solutions.
• Familiarity with Looker or similar BI and reporting tools.
• Working knowledge of Terraform or other Infrastructure as Code (IaC) technologies.
• Experience implementing CI/CD pipelines, Git-based workflows, and DevOps best practices.
• Proven ability to lead technical teams, communicate effectively with stakeholders, and manage project timelines and technical risks.
• Strong analytical, problem-solving, decision-making, and communication skills.

Benefits

• Competitive salary package.
• Opportunity to lead large-scale cloud data engineering initiatives.
• Exposure to modern Google Cloud technologies and enterprise-scale projects.
• Collaborative and innovative work environment.
• Professional development and continuous learning opportunities.
• Career growth within a technically driven organization.
• Inclusive workplace committed to equal employment opportunities.
• Confidential and fair recruitment process.