Data Engineering Skills Enterprise ETL/ELT architecture, Python, Advanced SQL, Data Modeling, BigQuery, Cloud Composer (Airflow), Data Quality, Performance Optimization Cloud & Infrastructure Skills Google Cloud Platform, Terraform, Infrastructure as Code, IAM, Cloud Storage, Cloud SQL, Pub/Sub, Cloud Run, Cloud Monitoring, Cloud Logging DevOps Skills Git, Azure DevOps, GitHub, CI/CD, Docker, Kubernetes - Preferred Application Integration REST APIs, NET, Java, Spring Boot, Angular, SSRS/SSIS - Preferred Leadership Expectations Provide technical direction and architectural guidance. The role leads the architecture and development of scalable data pipelines, Infrastructure-as-Code using Terraform, and cloud-native services on Google Cloud Platform while mentoring engineers and partnering with business stakeholders.