Senior Enterprise Data Modeler

BOK Financial•Richardson, TX

1d•Onsite

About The Position

The IT department at BOKF drives the bank’s 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.

Requirements

Bachelor’s Degree in Information Systems, Data Analytics or a related field
10+ years’ experience in data modeling
At least 5 years’ experience in cloud-native environments
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
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

Nice To Haves

Experience within the financial services industry is preferred.
Experience in Snowflake, AWS, or Databricks are a plus

Responsibilities

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