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Data Taxonomy Jobs in Spring, TX (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 ...

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.

Baths of America

Product Data Manager

Houston, TX · On-site

Define and enforce the canonical product data model: required fields, naming conventions, variant attribute standards, and category taxonomy across all 300 brands * Create and maintain the master ...

Baths of America

Product Data Manager

Houston, TX

Define and enforce the canonical product data model: required fields, naming conventions, variant attribute standards, and category taxonomy across all 300 brands * Create and maintain the master ...

Insperity

Senior Semantic Data Architect

Kingwood, TX · On-site

$112K - $152K/yr

Designs and maintains the enterprise semantic model (ontology, taxonomy, and controlled ... Defines and maintains data product standards covering schema conventions, naming, definitional ...

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All JobsData Taxonomy JobsData Taxonomy Jobs in Spring, TX

Data Taxonomy information

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Data Science Director, or Chief Data Officer, which typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities. These roles can command salaries exceeding $150,000 annually, depending on the industry and location.

How to get a job in taxonomy?

To get a job in taxonomy, develop expertise in data organization, classification, and metadata standards such as Dublin Core or schema.org. Gaining skills in data management tools, understanding industry-specific vocabularies, and obtaining relevant certifications can improve employability. Experience with data analysis and information architecture is also valuable for roles in taxonomy development and management.

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 is data taxonomy?

Data taxonomy is a structured classification system that organizes data into categories and subcategories, making it easier to manage, search, and analyze. Data professionals often use standards and tools like metadata and ontologies to develop effective taxonomies for data governance and integration.

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.

What do you need to be a data taxonomy specialist?

A data taxonomy specialist typically needs a strong understanding of data management, classification, and metadata standards, along with skills in data modeling and taxonomy development. Proficiency in tools like Excel, SQL, or specialized taxonomy software is often required, and relevant certifications in data management or information architecture can be beneficial. Experience with data governance and collaboration with cross-functional teams also supports success in this role.

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 are popular job titles related to Data Taxonomy jobs in Spring, TX? For Data Taxonomy jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Taxonomy jobs in Spring, TX look for? The top searched job categories for Data Taxonomy jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Taxonomy jobs? Cities near Spring, TX with the most Data Taxonomy job openings:
Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Architect / Data Modeler (SAP)

Data Architect / Data Modeler (SAP)

First Genesis

Houston, TX

Contractor

Re-posted 2 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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