GCP Data Engineer Technical Lead

Role Overview We are looking for an experienced GCP Data Engineer / Technical Lead to drive engineering delivery for a scalable, multi-tenant data integration platform. The role focuses on building production-grade ETL pipelines, orchestrating workflows using Apache Airflow, improving CI/CD automation, and implementing end-to-end data lineage. Must-Have Skills

• Google Cloud Platform (GCP)
• Apache Airflow – DAG Development & ETL Orchestration
• Python
• ETL/ELT Pipelines & Data Integration
• GCP Data Services – BigQuery, Cloud Storage, Pub/Sub, Dataflow
• CI/CD Pipelines & Release Automation
• Infrastructure as Code – Terraform
• REST APIs & Configuration Management
• Data Quality, Validation & Reconciliation
• Pipeline Monitoring, Logging & Performance Tuning
• Reliability Engineering – Retries, Idempotency & Error Handling
• Technical Leadership & Agile Delivery Key Responsibilities
• Lead technical design and delivery of GCP-based data integration solutions
• Build and maintain reliable Airflow DAGs and ETL/ELT pipelines
• Develop scalable, multi-tenant platform architecture
• Automate build, testing, deployment and release processes
• Implement end-to-end data lineage and metadata tracking
• Improve pipeline reliability, observability and incident recovery
• Collaborate with vendors, architects, product owners and data teams
• Mentor engineers and establish coding, testing and documentation standards Good to Have
• OpenLineage, DataHub or data catalog tools
• Multi-tenant architecture and metadata-driven pipelines
• Data governance, auditability and access controls
• GKE / Cloud Run
• External vendor system integrations