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Senior Enterprise Data Modeler

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Onsite

Senior Enterprise Data Modeler

BOK Financial

Senior Enterprise Data Modeler

Skills

SQL QueriesPythonData ScienceSnowflakeDatabricksData AnalysisAWSdbtCompliance

22 days ago

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Important information


Location:

Richardson, TX, USA

Work mode:

Onsite

Published on:

1 October 2026

What they need


**Req ID:**78695

**Location:**Richardson -RCHRD

Areas of Interest: Enterprise Data

**Pay Transparency Salary Range:**Not Available

**Application Deadline:**11/30/2026

BOK Financial Corporation Group includes BOKF, NA; BOK Financial Securities, Inc. and BOK Financial Private Wealth, Inc. BOKF, NA operates TransFund and Cavanal Hill Investment Management, Inc. BOKF, NA operates banking divisions: Bank of Albuquerque; Bank of Oklahoma; Bank of Texas and BOK Financial®.

Bonus Type

Discretionary

Summary

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.

Job Description

The Senior Enterprise Data Modeleris 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.

Team Culture

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.

How You'll Spend Your Time

  • 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.

Education & Experience Requirements

The required level of knowledge is normally acquired through completion of a Bachelor’s 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

BOK Financial Corporation Group is a stable and financially strong organization that provides excellent training and development to support building the long term careers of employees. With passion, skill and partnership you can make an impact on the success of the bank, customers and your own career!

Apply today and take the first step towards your next career opportunity!

The companies in BOK Financial Corporation Group are equal opportunity employers. We are committed to providing equal employment opportunities for training, compensation, transfer, promotion and other aspects of employment for all qualified applicants and employees without regard to sex, race, color, religion, national origin, age, disability, pregnancy status, sexual orientation, genetic information or veteran status.

Please contact recruiting_[email protected] with any questions.

Richardson, TX, US, 75080

Nearest Major Market: Dallas

Nearest Secondary Market: Fort Worth

Job Segment: Data Modeler, Bank, Banking, Information Technology, IT Architecture, Data, Finance, Technology

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