Summary: Seeking a Lead Data DevOps Engineer with GCP expertise to design, deploy, and optimize cloud-based data systems and workflows. Highlights: 1. Lead data DevOps engineering on Google Cloud Platform 2. Design and optimize cloud data infrastructure and workflows 3. Develop automated data pipelines using Python and IaC tools We are looking for a skilled **Lead Data DevOps Engineer** with expertise in Google Cloud Platform (GCP) to join our team. This role suits professionals with hands\-on experience in cloud\-based data systems, infrastructure automation, and optimizing data workflows. Familiarity with AWS or Azure is beneficial but not mandatory. **Responsibilities** * Design cloud data infrastructure using GCP services such as DataFlow, GCS, BigQuery, Dataproc, and Cloud Composer * Deploy infrastructure using IaC tools like Terraform to enable provisioning and monitoring * Work with data engineering teams to develop automated and efficient data workflows using Python * Set up CI/CD pipelines through tools such as Jenkins, GitLab CI, or GitHub Actions for streamlined deployments * Optimize performance and improve the reliability of data platforms by collaborating with cross\-functional teams * Maintain cloud\-based data tools including Apache Spark, Apache Kafka, and Apache Airflow * Analyze and resolve issues to ensure scalability and reliability of cloud\-based data systems **Requirements** * 5\+ years of experience in cloud environments, focusing on GCP services like BigQuery, Cloud Composer, and Dataproc * Proficiency in Python combined with competency in SQL for data pipeline development * Knowledge of IaC tools such as Terraform or CloudFormation for infrastructure automation * Skills in building CI/CD pipelines with tools like Jenkins, GitHub Actions, or GitLab CI * Background in Linux\-based operating systems and shell scripting * Understanding of network protocols and concepts such as TCP/IP, DNS, and NAT * Competency in implementing tools like Apache Spark, Apache Airflow, or ELK Stack **Nice to have** * Familiarity with AWS or Azure, including ECS, S3, Data Lake, or Synapse * Flexibility to use IaC tools such as Ansible * Background showcasing experience with alternative data workflow automation tools