Data Modeler

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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).
* 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, Top Braid, 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.
* 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.
· Support AI/ML enablement by providing structured semantic frameworks for knowledge graphs and reasoning engines.
* Bachelors degree or equivalent in Math, Computer Science, or MIS related area required.
* Minimum 5 years demonstrated experience with engineering, building, and/or designing data models
* Minimum 2 years in Banking and Finance domain preferred
* Ability to design and implement Lob and/or enterprise Data Domains using Snowflake and using a Data Lake, Data Vault and ELT approach.
* Proven analytic skills, including mining, evaluation, analysis, and visualization
* Strong SQL or Excel skills with the ability to learn other analytic tools
* Prior experience with database and model design and segmentation techniques
* Excellent understand of the SDLC process and familiar with the various Agile delivery methods (Scrum, Kanban, Dev Ops).
* Ability to design, integrate complex data ingestions and implement data solutions to deliver results for an Enterprise Data Program.
* Demonstrated application of skills and knowledge across various business domains and technologies.
* Ability to obtain, analyze and synthesize information from…