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Data Taxonomy Jobs in Florida (NOW HIRING)

Exactech

$57.75 - $74.25/hr

This specific role focuses on data decomposition, building conceptual models, developing an enterprise clinical data taxonomy, and developing a logical clinical data model at the enterprise level.

Socket.dev

Data Architect / Engineer

Miami, FL · On-site

$150 - $200/hr

You will define the schema, taxonomy and graph model for our knowledge domains, build resilient ... Deep data modeling across relational and graph paradigms; graph databases (Neo4j) and Postgres ...

Signature Aviation

Senior Marketing Data Analyst

Orlando, FL · On-site

$80K - $100K/yr

Define KPIs, reporting logic, lead source taxonomy, conversion definitions, funnel stages, and ... Provide data-driven insights and recommendations to improve conversion rates, retention, and ...

Signature Aviation

Senior Marketing Data Analyst

Orlando, FL · On-site

$80K - $100K/yr

Define KPIs, reporting logic, lead source taxonomy, conversion definitions, funnel stages, and ... Provide data-driven insights and recommendations to improve conversion rates, retention, and ...

Tenex

Forward Deployed Data Architect

Sarasota, FL · On-site

$200 - $250/hr

... taxonomy, and dashboard design * Lead platform-specific content roadmaps (Google SecOps, Sentinel ... Evaluate new data sources, integrations, and vendor partnerships for content expansion * Drive ...

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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 Florida?

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

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

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

What cities in Florida are hiring for Data Taxonomy jobs?

Cities in Florida with the most Data Taxonomy job openings:

Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in Florida as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Architect & Data Services Specialist

On-site

Exactech
See more jobs at Exactechexternal

$57.75 - $74.25/hr

Full-time

Re-posted 16 days ago

Exactech rating

8.0

Company rating: 8.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Description
The role of the Data Architect/Data Services Specialistis to expand the company's use of data as a strategic enabler of corporate goals and objectives. The Data Architect/Data Services Specialist will achieve this by strategically designing, developing, and implementing data models for enterprise-level and customer-facing applications and systems. These models shall be architected at the conceptual, logical, business area, and application layers. This individual will act as the primary advocate of data modeling methodologies and data processing best practices focused on the company's breadth of clinical, customer and product-related data.
 
The role of Data Architect/Data Services Specialist will be primarily responsible for developing & maintaining ETL Jobs, extracting and replicating company data and loading it into a data warehousing environment, primarily using the SAP Data Services platform.

Key Responsibilities
  • Develop and deliver long-term strategic goals for clinical and corporate data architecture and standards in conjunction with Clinical Affairs, Business Units, Product Development, Regulatory Affairs, External Customers and other key stakeholders.
  • Establish an overall clinical data infrastructure roadmap and implementation plan, while collaborating with key stakeholders
  • Gather and review business requirements and processes, conduct in-person interviews or workshops, profile source system(s) data, documentation, analysis, and design of proposed systems. This specific role focuses on data decomposition, building conceptual models, developing an enterprise clinical data taxonomy, and developing a logical clinical data model at the enterprise level.
  • Translate Business Requirements Documents (BRDs) and/or User Stories into viable conceptual and subsequently, logical data models and design artifacts in conformance with existing standards and conventions.
  • Develop mapping documents that demonstrate data lineage and relationships.
  •  Establish processes for governing the identification, collection, and use of corporate and clinical metadata; take steps to assure metadata accuracy and validity. 
  • Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.
  • Conduct clinical data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
  • Create strategies and plans for clinical data security, backup, disaster recovery, business continuity, and archiving.
  • Performs visualization design; completes challenging visualization projects independently; utilizes good sensibility in visual storytelling.
  • Partners with other clinical and BU stakeholders to develop reports that provide meaningful clinical and product data and information.
  • Liaise with vendors and service providers to select the products or services that best meet company goals in collaboration
  • Assess and determine governance, stewardship, and frameworks for managing clinical data across the organization in collaboration with the Director of Application Development & Integration.
  • Develop and promote data management methodologies and standards, that are within regulatory compliance.
  • Lead the mapping of clinical data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.
  • Build out the data architecture and models in collaboration with the company's data.
  • Address clinical data-related problems regarding systems integration, compatibility, and multiple-platform integration.
  • Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of the data architecture.
  • Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture.
  • Identify and develop opportunities for data reuse, migration, or retirement.
  • Knowing and applying Exactech's Quality Management System and any appropriate federal and international standards.
  • Assist and support other employees, teams, and sales personnel as necessary.  

Skills Knowledge and Expertise
Education:
  • Bachelor's Degree in a related field from an accredited institution required. 
 Experience:
  • A minimum of 5 years' experience in hands-on technical leadership, project management, process development and resource management.
  • 7+ years' work experience as a data or information architect.
  • 7+ years' work experience as an ETL developer. (SAP Data Services would be beneficial)
  • 7 years' experience working with modeling tools (e.g., one or more of the following: SAP Power Designer, ER/Win, ER/Studio or other similar tools).
  • 7 years of relevant data analysis; experience with database query and analysis languages (e.g., SQL, R, SAS, Python) and data visualization tools (e.g., SAP Business Objects, Tableau, etc.).
  • 3-5 years' experience working with clinical data in a medical device industry setting is ideal.
  • Functional/Technical Knowledge, Skills and Abilities Required: Ability to interpret complex statistical data.
Functional/Technical Knowledge, Skills and Abilities Required:
  • Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.
  • Direct experience in implementing data management processes, procedures, and decision support.
  • Strong understanding of relational data structures, theories, principles, and practices.
  • Strong familiarity with metadata management and associated processes.
  • Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools.
  • Demonstrated expertise with repository creation, and data and information system life cycle methodologies.
  • Experience with business requirements and process analysis, entity relationship planning, database design, reporting structures, and so on.
  • Ability to manage data and metadata migration.
  • Excellent client/user interactions skills to determine requirements.
  • Ability to effectively build and maintain relationships 
  • Ability to exercise sound judgment and make decisions based on accurate and timely analysis.
  • Demonstrated ability to define, develop, and analyze performance measures and metrics.
  • Solid experience utilizing and implementing relational and non-relational data storage models.
  • Expert knowledge of system and software quality assurance best practices and methodologies.
    Desired:
  • Understanding of Web services (SOAP, XML, UDDI, WSDL) and open APls.
  • Broad understanding of various cloud development technologies and trends.
  • Good knowledge of applicable data privacy practices and laws.
  • Proven project management experience.
  • Clinical Data Expertise: Advanced Subject Matter Expert and analytic resource in a number of clinical areas applying knowledge of definitions and identifying best sources of data.
  • Experience developing and supporting mission critical applications optimized to run in the cloud or virtualized environments.
  • Strong experience with SDLC, Agile methodologies, Microservices, API, EDI, and public and private cloud technologies.
  • Deep knowledge of system architecture, technical design, system and software development technology, scalability, availability and performance considerations.
  • Has knowledge of emerging trends and developments in PaaS, Saas, iOS/Android mobile app API, cloud, Al, Machine Learning and other digital technologies.
  • Strong experience with common and reliable Web and Mobile application development.
  • Object oriented programming experience (e.g., using Java, J2EE, EJB, .NET, WebSphere, etc.).
  • Scripting (R, Python)

What Exactech employees say

Pay

Hours and flexibility

Workplace

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