Data Modeler

Texas Capital is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big firms at a scale that works for our clients, with highly experienced bankers who truly invest in people’s success — today and tomorrow.  

While we are rooted in core financial products, we are differentiated by our approach. Our bankers are seasoned financial experts who possess deep experience across a multitude of industries. Equally important, they bring commitment — investing the time and resources to understand our clients’ immediate needs, identify market opportunities and meet long-term objectives. At Texas Capital, we do more than build business success. We build long-lasting relationships. 

Texas Capital provides a variety of benefits to colleagues, including health insurance coverage, wellness program, fertility and family building aids, life and disability insurance, retirement savings plans with a generous 401K match, paid leave programs, paid holidays, and paid time off (PTO). 

Headquartered in Dallas with offices in Austin, Fort Worth, Houston, Richardson, Plano and San Antonio, Texas Capital was recently named Best Regional Bank in 2024 by Bankrate and was named to The Dallas Morning News’ Dallas-Fort Worth metroplex Top Workplaces 2023 and GoBankingRate’s 2023 list of Best Regional Banks. For more information about joining our team, please visit us at www.texascapitalbank.com. 

Responsibilities

• Solid understanding of relational, dimensional data modeling, Data Vault  Modeling and ER-Modeling

• Understand business needs and translate them into effective data models (conceptual, logical, and physical), considering data relationships and constraints. 

• ·         Design and maintain ontologies, taxonomies, and semantic models for enterprise data domains - Utilize ontology management tools (e.g., Protégé, TopBraid, RDF/OWL editors) and semantic web technologies (SPARQL, RDF, OWL).

• Work closely with data architects, database administrators, data analysts, and business stakeholders to align data models with overall enterprise data architecture, strategy and roadmap. 

• Analyzing and translating business needs into long-term solution data models. Consider Exact, Transform and Load (ETL) and Reporting challenges in designing data models.

• ·         Support AI/ML enablement by providing structured semantic frameworks for knowledge graphs and reasoning engines.

• Analyze structural requirements for new datamarts and presentation/semantic layers.

• Evaluating existing data systems and reviewing modifications of existing systems for cross-compatibility.

• Interpret data, analyze results using statistical techniques and provide ongoing reports.

• Review the data model with both technical and business audiences as well as Data Governance.

• Developing best practices for data coding to ensure consistency within the system.

• Excellent communication skills with the ability to facilitate interaction between developers, analysts, and business users.

• Conduct moderately complex data profiling and analysis to evaluate data sources to determine the best source for business information

• Extensive knowledge of/experience with data integration, data quality, multi-dimensional design, and ETL tools, processes, and methodology

• Adhere to established data governance standards and best practices for data modeling. Document, maintain and optimize metadata related to data models, including data definitions and usage guidelines. 

• Work with management to prioritize business and information needs. 
   

Qualifications

• Bachelors degree or equivalent in Math, Computer Science, or MIS related area required.

• Minimum 5 years demon