Pay
$122K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 321 postings in the last year. Stated ranges, not salaries paid.
Richardson, TX, US, 75080
Actively hiring, first seen by us 8 days agoLead conceptual, logical, and physical data model design for cloud platforms
Optimize data models for performance, scalability, and cost
Develop and maintain data modeling standards and governance processes
Integrate structured and semi-structured data into unified models
Mentor junior data modelers and contribute to enterprise architecture
You will lead the design and implementation of conceptual, logical, and physical data models for cloud-native data platforms.
You will optimize data models for performance, scalability, and cost efficiency across distributed cloud environments.
You will develop and maintain data modeling standards, best practices, and governance processes.
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
Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$122K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 321 postings in the last year. Stated ranges, not salaries paid.
Day 8
Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
Job Description 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. Team Culture
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
- 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
- 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.
Complete your application on jobs.bokf.com. The employer’s form will show what is required.
Already applied? Track this application
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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®.
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.
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.
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.
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_coordinators@bokf.com with any questions.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Richardson, TX, US, 75080
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.