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Metadata Jobs in Florida (NOW HIRING)

Activision Blizzard, Inc.

$27.42 - $50.72/hr

Generate, review, and maintain accurate metadata for database ingest and long-term discoverability. * Maintain a high level of data accuracy and consistency across spreadsheets, databases, trackers ...

RELX

AI Data Analyst

Boca Raton, FL

This role focuses on data readiness, quality, metadata, and governance, helping teams understand how to structure, document, and manage their data so it can be safely and effectively used by AI ...

United Airlines

Ab Initio Developer

Tampa, FL · On-site

Familiarity with data governance, data lineage, and metadata management * Proven ability to lead code reviews and enforce development standards * Experience in financial services domain (mandatory)

Nalley Consulting

Ontologist - Sr

Miami, FL · On-site

$117K - $154K/yr

Enforce adherence to W3C standards and metadata alignment between Databricks Unity Catalog, GIS metadata systems, and operational data stores. * Collaborate with data scientists and analysts to ...

Quiet Professionals LLC

Ontologist

Tampa, FL · On-site

$108K - $129K/yr

The position requires enforcing adherence to W3C standards and metadata alignment between Databricks Unity Catalog, GIS metadata systems, and operational data stores. * Ontologists will collaborate ...

Abacus Technology

Digital Archivist

Merritt Island, FL · On-site

Support digital preservation functions including processing and transformation of digital objects, capture of metadata, and utilization of the Open Archival Information System (OAIS) model as a ...

Abacus Technology

Digital Archivist

Merritt Island, FL · On-site

Support digital preservation functions including processing and transformation of digital objects, capture of metadata, and utilization of the Open Archival Information System (OAIS) model as a ...

Nalley Consulting

Ontologist - Sr

Doral, FL · On-site

$117K - $154K/yr

Enforce adherence to W3C standards and metadata alignment between Databricks Unity Catalog, GIS metadata systems, and operational data stores. * Collaborate with data scientists and analysts to ...

Prescient Edge

Data Governance Specialist

Doral, FL · On-site

Oversee metadata management, data lineage tracking, and regulatory compliance for all datasets stored within the Data Lake environment. * Integrate Unity Catalog and OpenLineage methodologies to ...

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All JobsMetadata JobsMetadata Jobs in Florida

Metadata information

See Florida salary details

$6

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How much do metadata jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for metadata in Florida is $11.76, according to ZipRecruiter salary data. Most workers in this role earn between $8.80 and $13.12 per hour, depending on experience, location, and employer.

What is the difference between Metadata vs Data Analyst?

AspectMetadataData Analyst
Required CredentialsKnowledge of data management, basic understanding of databasesBachelor's degree in statistics, data science, or related field
Work EnvironmentData management teams, IT departmentsBusiness, finance, marketing teams
Employer & Industry UsageUsed across industries for data catalogingUsed in analytics, reporting, decision-making
Common Search & ComparisonUnderstanding data structureAnalyzing data for insights

Metadata involves managing data about data, such as descriptions and structure, while a Data Analyst interprets data to provide insights. Both roles are essential in data management but serve different functions within organizations.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions in large corporations can earn $1,000,000 or more annually, often including bonuses and stock options. Additionally, successful entrepreneurs, top-tier investment bankers, and certain specialized professionals like renowned surgeons or professional athletes may reach this income level, typically requiring extensive experience, skills, and a high-performance environment.

What are metadata specialists?

Metadata specialists are professionals responsible for creating, managing, and maintaining metadata, which is data that describes and provides information about other data. They work to ensure that digital assets, documents, or datasets are accurately categorized, searchable, and retrievable by assigning standardized descriptions and tags. Metadata specialists often work in libraries, archives, museums, or organizations with large digital collections, and play a key role in data governance and information management.

What type of jobs are at Meta?

Meta offers a variety of jobs including software engineering, product management, data analysis, design, marketing, and research roles. These positions often require skills in programming, data analysis tools, and knowledge of social media platforms or digital advertising. Many roles are based in technology, communications, and user experience departments.

What jobs pay 500,000 a year in the US?

In the field of metadata, high-paying roles such as Chief Data Officer or senior data management executives can earn around $500,000 annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data governance, and leadership responsibilities.

What does a metadata specialist do?

A metadata specialist manages and organizes data by creating, maintaining, and ensuring the accuracy of metadata, which describes and categorizes digital assets. They often use tools like metadata standards and databases, and may work with content management systems to improve data retrieval and interoperability.

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

To thrive as a Metadata Specialist, you need strong organizational skills, attention to detail, and knowledge of metadata standards and cataloging principles, often supported by a degree in library science, information science, or a related field. Familiarity with cataloging tools, metadata management systems, and standards like Dublin Core or MARC is typically required. Excellent communication, problem-solving abilities, and collaboration skills help you work effectively with cross-functional teams and stakeholders. These skills ensure accurate data organization and retrieval, which are critical for maintaining data integrity and supporting information discovery.

What are some typical challenges faced by metadata specialists when managing large datasets, and how can they be addressed?

Metadata specialists often encounter challenges such as inconsistent data standards, incomplete metadata entries, and integrating metadata from multiple sources. These issues can make it difficult to ensure data discoverability and usability. Addressing them typically involves establishing clear metadata standards, using automated tools for validation, and collaborating closely with data owners and IT teams to maintain consistency. Regular training and documentation updates also help in keeping metadata practices aligned across the organization.
What are the most commonly searched types of Metadata jobs in Florida? The most popular types of Metadata jobs in Florida are:
What are popular job titles related to Metadata jobs in Florida? For Metadata jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Metadata jobs in Florida look for? The top searched job categories for Metadata jobs in Florida are:
What cities in Florida are hiring for Metadata jobs? Cities in Florida with the most Metadata job openings:
Metadata jobs near you
Infographic showing various Metadata job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $24,460 per year, or $11.8 per hour.
Enterprise Data Manager & Architect

Enterprise Data Manager & Architect

WELLDYNE

Lakeland, FL • On-site

Full-time

Re-posted 7 days ago

WellDyne rating

6.0

Company rating: 6.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

At our company, we move fast, adapt quickly, and turn challenges into opportunities-all while keeping quality at the heart of everything we do. We believe that work should be a positive and respectful place, and that with the right mindset, anything is achievable.
Our Vision:
Fulfill the essential promise of pharmacy care and help people to live to their healthiest, happiest, and fullest potential.
Our Mission:
To be the disruptive force that drives meaningful change within pharmacy services.
Summary
The Enterprise Data Manager & Architect is responsible for defining, governing, and optimizing how WellDyne identifies, structures, secures, and manages data across transactional, operational, and analytical systems. This role focuses on data ownership, including where data resides, how it is sourced, how it flows across systems, and how it is made available for business consumption.
This leader will establish enterprise standards for data architecture, governance, metadata, lineage, access, quality, and stewardship- ensuring WellDyne's data is accurate, trusted, secured, and usable for operational and analytical needs.
Success in this role is measured by clear data sourcing frameworks, mature governance practices, adoption of enterprise data standards, improved data trust, and enabling modern capabilities such as Power BI Copilot, data lakes, and machine learning-enabled insights.
Essential Duties & Responsibilities
Data Strategy & Governance
  • Define and maintain the enterprise data sourcing strategy, documenting where data exists and how it supports transactional and reporting needs.
  • Establish and lead the Data Management Center of Excellence, including governance models, standards, and decision frameworks.
  • Create and enforce enterprise standards for data architecture, modeling, metadata, lineage, quality, MDM, and stewardship.
  • Ensure compliance with regulatory and data security requirements across systems.

Enterprise Data Architecture
  • Define enterprise data architecture and canonical data models across transactional, operational, and analytical systems.
  • Ensure alignment of integrations, data flows, and storage patterns across all platforms (cloud, on-prem, data lakes).
  • Guide modernization initiatives such as database redesigns, platform consolidation, and legacy system decommissioning.
  • Partner with cross-functional teams to ensure data is traceable, secure, well-governed, and accessible.

Data Platforms, Tooling & Frameworks
  • Define strategy and standards for data management platforms including data catalog, lineage, metadata, MDM, quality monitoring, and data lake components.
  • Oversee the creation and ongoing maintenance of a centralized metadata and report catalog to improve visibility and reduce redundancy.
  • Lead adoption of scalable cloud-native data platforms and lakehouse architectures.

Enablement, Insights & Advanced Capabilities
  • Enable business teams to self-serve insights through governed data models and Power BI Copilot/NLQ capabilities, without IT owning the reporting function.
  • Identify practical machine learning applications-such as anomaly detection, forecasting, and natural language insights.
  • Improve enterprise data literacy and promote standardized data usage across WellDyne.

Leadership & Collaboration
  • Mentor BI developers, data engineers, analysts, and other technical contributors.
  • Serve as an enterprise subject-matter expert and escalation point for data architecture and sourcing decisions.
  • Collaborate with IT and business stakeholders to ensure consistency and alignment across teams.
  • Performs additional duties as assigned.

Education & Experience
  • Bachelor's or Master's in Information Systems, Computer Science, Data Analytics, or related field.
  • 8-12 years of progressive experience in data management, architecture, or governance, including 3-5 years in a lead/architect role.
  • Experience establishing or maturing a Data Management COE or governance program.
  • Hands-on experience with data lakes, modern cloud data platforms (AWS/Azure/GCP), SQL, and ETL/ELT.
  • Experience with Power BI Copilot and enabling natural-language data access.
  • Exposure to applied machine learning preferred.
  • Professional certifications preferred (Azure/AWS Data, Power BI, DAMA, TOGAF).

Knowledge, Skills & Abilities
  • Deep expertise in data architecture, modeling, metadata, lineage, and governance frameworks (DAMA/DMBOK, DCAM, TOGAF).
  • Strong understanding of data lakes, semantic modeling, and modern integration patterns.
  • Ability to define enterprise-wide data structures and ensure adoption.
  • Excellent communication and influencing skills across technical and business audiences.
  • Strong leadership, facilitation, and mentorship capabilities.
  • Ability to simplify complex data concepts for business stakeholders.

Success Measures
  • Enterprise data strategy and sourcing framework adopted.
  • Data governance standards consistently implemented across systems.
  • Data architecture modernized and redundant or legacy structures eliminated.
  • Centralized metadata and report catalog operational and used across teams.
  • Improved trust, quality, security, and usability of data.
  • Successful enablement of Power BI Copilot/NLQ for business self-service.
  • Practical machine learning-enabled features (e.g., forecasting, anomaly detection) implemented to support operations.

Work Environment / Physical Demands
This position is in a typical office environment which requires prolonged sitting in front of a computer. Requires hand-eye coordination and manual dexterity sufficient to operate standard office equipment including operation of standard computer and phone equipment. May have occasional high stress when dealing with customers/clients. Some travel may be required.
EOE M/F/D/V - WellDyne and HealthDyne are equal opportunity employer and prohibits discrimination of any kind. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, veteran or disability status, or any other protected status under federal, state, or local law.

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