Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is looking for a Staff Data Engineer to lead the end-to-end migration of on-premise data warehouse systems to modern cloud-based data platforms (e.g., AWS, GCP, Azure).
Requirements
- 10+ years of data engineering development experience.
- Deep experience with the design and management of scalable data pipelines and workflows: Built robust ETL/ELT processes using Databricks Workflows, Kafka, and modern ELT tools. Champion CI/CD and automated testing best practices to ensure reliability, maintainability, and rapid deployment.
- Demonstrated expertise in distributed systems and advanced programming: Developed production-grade solutions in Python and PySpark, leveraging performance optimization techniques such as partitioning, caching, parallelism, and efficient data formats.
- Optimized cloud infrastructure for cost and performance: Led cost-efficient Spark workload strategies on Databricks by right-sizing clusters (e.g., on-demand drivers, spot/preemptible workers), enabling autoscaling and auto-termination, and utilizing job compute, serverless clusters, cluster pools, tagging, and budget controls.
- Architected and led scalable data platforms: Designed high-throughput, distributed data systems including data lakes and warehouses. Applied strong OLTP/OLAP modeling principles to support both real-time and analytical workloads.
- Deep understanding of cloud platforms (Google Cloud preferred), cloud-native technologies (e.g., Kubernetes, Docker), and infrastructure-as-code (IaC) practices.
- Extensive expertise in managing both cloud and on-premises environments, with strong focus on seamless data and file movement between cloud and on-premises systems to ensure efficient and secure data integration.
Responsibilities
- Contribute to the technical strategy, roadmap, and architectural design of software systems.
- Develop and maintain scalable applications using data engineering technologies.
- Creates and manages CI/CD pipelines for automated deployments.
- Mentor and guide engineers on technical aspects of cloud and data development.
- Act as a technical advisor and reviewer for critical projects.
- Designed high-throughput, distributed data systems including data lakes and warehouses.
- Ensured data governance and compliance with industry standards and regulations through robust security practices and techniques
Other
- Demonstrate strong analytical, organizational, problem-solving skills and the ability to implement solutions independently.
- Coordinate efforts across multiple teams and departments.
- Lead and facilitate technical discussions and presentations.
- Actively engage in engineering community channels and events.
- Demonstrate emotional intelligence and empathy when interacting with others.
