Senior Enterprise Data Modeler

The IT department at BOKF drives the banks cutting-edge technology infrastructure and prioritizes seamless and secure digital operations. From supporting robust data centers to safeguarding sensitive financial data we are always at the forefront of innovation implementing the latest technologies to elevate banking services. Our dedicated teams provide strategic and comprehensive support meeting the ever-changing needs of both clients and employees across the entire enterprise.

The Senior Enterprise Data Modeler is responsible for drafting and managing critical data structures for current and future needs. This position will lead enterprise data modeling initiatives across modern cloud data platforms such as AWS Iceberg Databricks and Snowflake. The Senior Enterprise Data Modeler will be instrumental in designing scalable performant and business-aligned data models that support advanced analytics data science and enterprise reporting needs.

Our team thrives on collaboration continuous learning and innovation. We work closely together leveraging cutting-edge technologies and sharing our expertise to solve complex problems efficiently. By encouraging creativity and adaptability we experiment with new tools and methodologies fostering a dynamic and tech-forward work environment. Additionally we focus on creating a positive and supportive atmosphere ensuring everyone feels valued and motivated to excel.

• You will lead the design and implementation of conceptual logical and physical data models for cloud-native data platforms.
• You will collaborate with data architects engineers and business stakeholders to ensure alignment with business requirements and enterprise data strategy.
• You will develop and maintain data modeling standards best practices and governance processes.
• You will optimize data models for performance scalability and cost efficiency across distributed cloud environments.
• You will provide expertise in schema evolution partitioning strategies and metadata management for technologies such as Iceberg Databricks and Snowflake.
• You will integrate structured and semi-structured data into unified models while mentoring junior data modelers and contributing to enterprise architecture efforts.

The required level of knowledge is normally acquired through completion of a Bachelors Degree in Information Systems Data Analytics or a related field and 10 years experience in data modeling with at least 5 years experience in cloud-native environments. Experience within the financial services industry is preferred.

• Deep expertise in AWS Iceberg Databricks Delta Lake and Snowflake or some combination of these
• Strong understanding of data lakehouse architecture columnar storage formats and distributed query engines
• Proficiency in SQL Python and data modeling tools (e.g. ER/Studio ERwin dbt)
• Experience with data governance metadata management and data cataloging tools
• Proven ability to work across business and technical teams to translate requirements into scalable data models
• Experience with enterprise data architecture frameworks (e.g. DAMA-DMBOK TOGAF)
• Experience in the financial services industry with a strong understanding of regulatory requirements data privacy and financial data domains (e.g. risk compliance trading payments)
• Familiarity with real-time data processing and streaming architectures
• Experience in Snowflake AWS or Databricks are a plus
• Well-developed 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