Senior AWS Cloud Data Engineer

If you're in search of a position that blends a fervor for technological breakthroughs, a chance for career progression, and a collaborative work environment, then you've arrived at the right destination. We have an enticing role ready for a tech-savvy individual like you! At BOK Financial, we're fostering a workspace where extraordinary talents can display their skills, aim for the highest standards, and contribute to top-tier projects.

As an AWS Cloud Data Engineer, you'll be at the heart of our data-driven initiatives, responsible for designing, building, and maintaining robust and scalable data solutions on the Amazon Web Services (AWS) cloud platform. You will leverage your expertise in a wide array of AWS services and big data technologies to transform raw data into valuable, usable insights.

This critical role involves developing end-to-end data pipelines, managing data lakes using formats like Apache Iceberg, and creating secure, high-performance APIs to deliver data products to stakeholders. You will work closely with business partners, data scientists, analysts, and other engineering teams to understand data requirements and deliver effective, reliable, and compliant solutions that drive key business decisions.

If you are a problem-solver with a strong technical background and a passion for building innovative data architectures in the cloud, this role offers the opportunity to make a significant impact on our business success.

BOK Financial is a place where your passion for technological innovation is valued and career development is encouraged. The company fosters an environment where unique talents can thrive, achieve high standards, and contribute to prestigious projects. It's an ideal platform to advance your IT career within a vibrant and supportive culture.

• You will design scalable and efficient data lakehouse architectures on AWS using Apache Iceberg and related services.
• You will build and automate ETL/ELT pipelines to ingest data from various sources into the AWS ecosystem.
• You will develop secure and scalable RESTful APIs for internal data access using AWS tools.
• You will utilize AWS services like S3, EMR, and Lake Formation for data processing, storage, and analytics.
• You will manage Apache Iceberg tables to support features like ACID transactions, schema evolution, and time travel.
• You will optimize data performance through partitioning, compaction, and query tuning techniques.
• You will ensure data quality, integrity, and security using validation processes and AWS access controls.
• You will collaborate with cross-functional teams and maintain documentation while providing technical support.

This level of knowledge is normally acquired through completion of a Bachelor's Degree in a data-centric field (Computer Science, Economics, Information Systems, Data Analytics, etc.) and 7+ years' experience with demonstrated track record of successful technical leadership in the execution of large-scale data projects or equivalent combination of education and experience.

• Proven experience in successfully building, automating, and supporting solutions built in a large-scale data ecosystem in production environments on-premise, or in Azure/AWS cloud service.
• Proven experience in successfully building highly complex and scalable data pipelines.
• Strong understanding of BOKF business information systems and strong Enterprise Data Warehouse concepts.
• Strong hands-on experience independently designing, developing and testing business intelligence & analytics solutions using proven or emerging technologies in a variety of technologies and environments.
• Excellent oral and written communication skills to effectively represent self and BOKF, as well as ability to present complex information and issues in a clear and concise manner.
• Expert conceptual thinking and analytical skills with the ability to analyze complex problems that include interrelationships and dependencies in order to identify common themes and solutions.
• Ability to understand a goal and build out a work plan to accomplish, adjusting to accommodate other priorities, as needed.
• Confidently represent Enterprise Data Solutions team in various meetings where business needs and use cases are presented. Provide guidance/next steps with little oversight that are aligned with established best practices, patterns, and architectural principles.
• Strong sense of accountability, taking ownership over projects and responsibilities, and resolving issues proactively