Lead Data Engineer

About This Role

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our cloud-native data ecosystem. In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the design, build, and operation of reusable data capabilities that power analytics and AI at enterprise scale.

Required Qualifications

• 5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of data management experience within Public Cloud (GCP, AWS, Azure)
• 5+ years of hands-on experience with Python or Java, plus Spark SQL for building data pipelines, libraries, and automation tooling
• 5+ years with orchestration tools (Cloud Composer/Airflow) and CI/CD (Cloud Build, Git-based workflows) for data workloads

Desired Qualifications

• Experience with logging/monitoring stacks (Cloud Logging, Cloud Monitoring, error reporting, metrics dashboards)
• Experience with automated testing, data quality checks, and monitoring for pipelines and platform services
• Knowledge of cloud architecture principles (networking, security, IAM, reliability, cost management)
• Experience with core GCP data services: BigQuery, Dataflow/Apache Beam, Dataproc, Pub/Sub
• Experience with Agile transformations and technology roadmaps
• Experience working with onshore and offshore teams