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Data Taxonomy Jobs in Texas (NOW HIRING)

K2 Group Inc.

Knowledge Manager

Houston, TX · On-site

Deep understanding of structuring unstructured data, taxonomy, and access-control settings for classified/unclassified spaces. * Proven ability to spot qualitative and quantitative patterns across ...

K2 Group, Inc.

Knowledge Manager

Terrell Hills, TX · On-site

$90 - $120/hr

Deep understanding of structuring unstructured data, taxonomy, and access-control settings for classified/unclassified spaces. * Proven ability to spot qualitative and quantitative patterns across ...

K2 Group, Inc.

Knowledge Manager

Bexar, TX · On-site

Deep understanding of structuring unstructured data, taxonomy, and access-control settings for classified/unclassified spaces. * Proven ability to spot qualitative and quantitative patterns across ...

Bray Architects

Master Data Management Architect

Houston, TX · On-site

$60.75 - $78.25/hr

Provide thought leadership in master data governance, taxonomy management, and data architecture best practices. * Train and mentor business data stewards, process owners, and technical teams.

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Data Taxonomy information

What are some typical challenges faced when developing and maintaining a data taxonomy within an organization?

One common challenge when working in data taxonomy is ensuring consistency across different departments that may use varied terminology or classification standards. Data taxonomists often need to facilitate collaboration between stakeholders to agree on definitions and structures, which requires strong communication and negotiation skills. Another challenge is keeping the taxonomy up-to-date as business needs and data sources evolve, necessitating regular reviews and updates. Successfully navigating these issues helps improve data discoverability, governance, and overall business intelligence.

What are the key skills and qualifications needed to thrive as a data taxonomist, and why are they important?

To thrive as a Data Taxonomist, you need a strong background in information science, data organization, and metadata management, often supported by a degree in library science, information systems, or a related field. Familiarity with taxonomy management tools, data modeling software, and standards such as SKOS or RDF is commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating across teams and ensuring data consistency. These skills and qualifications are crucial for creating structured data frameworks that improve data discoverability, usability, and governance.

What is the difference between Data Taxonomy vs Data Analyst?

AspectData TaxonomyData Analyst
Primary FocusOrganizing and classifying data structuresAnalyzing data to extract insights
Skills & CertificationsData modeling, taxonomy development, data management certificationsStatistical analysis, SQL, data visualization skills
Work EnvironmentData management teams, data governance departmentsBusiness units, analytics teams
Industry UsageData governance, information architectureBusiness intelligence, reporting

Data Taxonomy involves creating structured classifications for data assets, ensuring consistency and clarity across systems. Data Analysts focus on interpreting data to support decision-making. While both roles work with data, Data Taxonomy emphasizes data organization, whereas Data Analysts analyze data for insights.

How to become a data taxonomist?

To become a data taxonomist, develop skills in data management, classification, and metadata standards, often through a degree in information science, computer science, or related fields. Gaining experience with data modeling tools, taxonomy development, and understanding domain-specific knowledge is essential, along with familiarity with data governance and relevant software such as Protégé or Excel.

What does a data taxonomy specialist do?

A data taxonomy specialist develops and maintains structured classifications of data within an organization to improve data organization, searchability, and governance. They analyze data assets, create standardized naming conventions, and often use tools like metadata management systems to ensure consistent data categorization across systems.

What skills are needed for data taxonomy?

Data taxonomy professionals need strong analytical skills to categorize and organize data effectively, along with knowledge of data management principles and metadata standards. Familiarity with data modeling tools, taxonomy development, and understanding of business context are also important. Proficiency in tools like Excel, SQL, or specialized taxonomy software can enhance performance.

What are popular job titles related to Data Taxonomy jobs in Texas?

For Data Taxonomy jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Taxonomy jobs in Texas look for?

The top searched job categories for Data Taxonomy jobs in Texas are:

What cities in Texas are hiring for Data Taxonomy jobs?

Cities in Texas with the most Data Taxonomy job openings:

Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Architect / Data Modeler (SAP)

First Genesis

Houston, TX • On-site

Contractor

Re-posted 14 days ago

Job description

Job Description

Job Title: IT - Application - Data Modeler Level IV

Location: Houston, TX


Job Description:

Title: Data Architect/Data Modeler

Need: We have an immediate opening for a Data Design Lead on the Data and Analytics team. The team works closely with the business to proactively develop solutions, deliver training, and understand the current and future technologies needed to understand data.

Work environment: The work environment is fast paced and dynamic. Individuals will be handling multiple activities in a team as well as individual contributor environment.

Primary functions: data architecture, data development and design, data quality management, reference and master data management, data integration, data governance

Primary Deliverables: Data architecture, data workflow logical models, physical source data models, data profiling reports and data audits, data definitions, data taxonomy, data metrics, meta-data, data lineage, data cleansing services

Activities: data modeling, data audit, detailed data design, define rules, establish master data solutions, define hierarchies and affiliations, distribute reference and master data, profile|analyze|assess data quality, design data quality management procedures, clean and correct data quality defects, establish data governance

Requirements:

  • Demonstrate critical thinking, analytical skills, and employ judgment to offer thoughtful, concise input toward resolutions of problems.
  • Be able to translate data requirements into business processes and reverse engineer business processes into data requirements Comprehension of DevOps and Agile development and application to data centric architecture and solutions
  • Strong communication and interpersonal skills with strong English proficiency
  • Leadership skills needed to successfully promote ideas, coordinate work activities, and plan deliverables within a project team.
  • Minimum Bachelor's Degree in Engineering Technology, Computer Science, or closely related field.
  • A minimum of 5 years' experience in SAP Data Management and Governance, SAP Data Services (Data Extract, Data Profiling, de-duplication)
  • Advanced competency in TOAD for Oracle, SQL Server Database, SAP HANA, R Programming and Tableau

Technical Competencies:

  • Advanced expert database handling languages (SQL and variants)
  • Expert in data modeling (physical and logical), ER diagrams, data dictionary, data map, normalize/denormalize, agile data modeling
  • Expert in data manipulation tools such as: SSMS, SSIS, TOAD, Access, Excel, Info Steward, Data Services
  • Practical skill sets in BI and Data visualization tools
  • Knowledge of other programming languages and ability to write code (i.e. VBA, python, XML)
  • Working knowledge of ETL
  • Working knowledge of SAP
  • Basic Project Management and Business Process modeling
Additional Information

All your information will be kept confidential according to EEO guidelines. #3568


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