Senior Snowflake Cloud Data Platform Administrator

Build data that matters at a bank with deep roots and bold plans. Our team is advancing a cloud, data, and AI transformation-creating an enterprise data lake, governed products, and scalable analytics. By connecting data across the bank, we help teams make smarter decisions, manage risk, and better serve clients. Our work drives stronger performance, more efficient operations, and more consistent experiences enterprisewide.

The Senior Data Platform Engineer is responsible for the administration, optimization, and continuous improvement of enterprise data platforms across cloud environments. This role is a highly hands-on individual contributor focused on ensuring availability, performance, scalability, security, and reliability of data platform services. The position operates within modern data ecosystems supporting data warehousing, integration services, streaming technologies, and analytics platforms. The Senior Data Platform Engineer collaborates with Data Engineering, Data Architecture, Infrastructure, and Security teams to enable scalable, secure, and efficient platform operations while driving automation and operational maturity.

At BOK Financial, your potential is our priority, with opportunities designed to help you grow. We create an environment where people are trusted, encouraged, and equipped to build meaningful, lasting careers. Our leaders invest in development, offering guidance, connection, and support every step of the way. Here, you'll find a culture focused on what you can achieve-empowering you to grow with purpose and make an impact.

• You will administer and maintain enterprise data platforms and environments.
• You will monitor platform performance, availability, and resource utilization.
• You will implement security controls, governance standards, and user access.
• You will optimize platform scalability, performance, and cost efficiency.
• You will troubleshoot complex issues and lead incident resolution efforts.
• You will support deployments, releases, and environment lifecycle management.
• You will automate operational processes to improve platform efficiency.
• You will collaborate with engineering teams to enhance platform reliability.

This level of knowledge is normally acquired through completion of a Bachelor's Degree in a data-centric or engineering field (Computer Science, Information Systems, Engineering, etc.) and 12+ years of relevant professional experience with demonstrated progression in scope and responsibility, or equivalent combination of education and experience.

• Proven experience administering and operating enterprise data platforms in production environments.
• Strong understanding of platform operations, monitoring, access management, security controls, and service reliability practices.
• Strong experience working with cloud platforms such as AWS, Azure, or GCP, including use of cloud-native infrastructure and managed services.
• Experience with modern data platforms such as Snowflake, Databricks, or similar technologies.
• Experience implementing automation, scripting, and infrastructure-as-code approaches for platform management and operations.
• Strong understanding of system reliability, fault tolerance, scalability, and performance optimization principles.
• Experience with incident management, troubleshooting, and root cause analysis for complex platform issues.
• Experience with release management, environment lifecycle, and operational support processes.
• Strong ability to analyze complex technical problems and implement long-term solutions.
• Experience with monitoring, logging, alerting, and observability tools and practices.
• Strong collaboration skills working across Data Engineering, Architecture, Infrastructure, Security, and business teams.
• Strong communication skills with the ability to clearly explain platform issues, risks, and service impacts to stakeholders.
• Strong analytical and problem-solving skills with focus on improving system reliability and operational efficiency.
• Strong sense of ownership and accountability for platform stability, performance, and service outcomes.
• Demonstrated focus on continuous improvement of platform operations, processes, and engineering practices.