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Hourly Metadata Analyst Jobs in Texas (NOW HIRING)

In this role, you will oversee data pipelines, cloud data platforms, governance, analytics ... Define and enforce data quality, governance, metadata, and compliance standards. * Oversee data ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... analytics and reporting platforms * Maintain data dictionaries, metadata, and documentation ... Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... analytics and reporting platforms * Maintain data dictionaries, metadata, and documentation ... Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... analytics and reporting platforms * Maintain data dictionaries, metadata, and documentation ... Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... analytics and reporting platforms * Maintain data dictionaries, metadata, and documentation ... Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... analytics and reporting platforms * Maintain data dictionaries, metadata, and documentation ... Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... analytics and reporting platforms * Maintain data dictionaries, metadata, and documentation ... Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... analytics and reporting platforms * Maintain data dictionaries, metadata, and documentation ... Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... analytics and reporting platforms * Maintain data dictionaries, metadata, and documentation ... Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data ...

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... analytics and reporting platforms * Maintain data dictionaries, metadata, and documentation ... Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data ...

Python Developer

Dallas, TX · On-site

$40 - $60/hr

Strong Analysis skills * Working knowledge of Unix OS /Shell scripting * Basic Python knowledge is ... Experience with Metadata management solutions / Data lineage is a plus * Learn New technologies and ...

Additional Experience Experience with Metadata management solutions / Data lineage is a plus Learn ... Hourly Rate Range - $40-$60/ hr Benefits Offered: [Health, Dental, Vision Insurance] Deadline:

Strong Analysis skills * Working knowledge of Unix OS /Shell scripting * Basic Python knowledge is ... Experience with Metadata management solutions / Data lineage is a plus * Learn New technologies and ...

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Hourly Metadata Analyst information

What is an hourly metadata analyst?

Hourly Metadata Analysts are professionals who work on an hourly basis to review, organize, and manage metadata for digital assets such as videos, images, documents, or databases. Their responsibilities typically include ensuring metadata accuracy, updating records, and maintaining data integrity to improve searchability and accessibility. These analysts often collaborate with content teams, librarians, or IT departments to implement metadata standards and support digital asset management systems. The hourly nature of the role allows companies to scale their metadata needs flexibly, depending on project demands.

What are the key skills and qualifications needed to thrive as an hourly metadata analyst?

To thrive as an Hourly Metadata Analyst, you need strong analytical skills, attention to detail, and familiarity with metadata standards, typically supported by a relevant degree or experience in data management. Proficiency with content management systems (CMS), digital asset management (DAM) tools, and spreadsheet software like Excel is often required. Excellent organizational skills, communication abilities, and a collaborative mindset help you excel in this role. These competencies ensure accurate metadata entry and management, supporting efficient content discovery, retrieval, and overall data integrity.

How does an hourly metadata analyst typically collaborate with other teams during a project?

As an Hourly Metadata Analyst, you often work closely with content managers, data engineers, and quality assurance teams to ensure metadata accuracy and consistency. Collaboration usually involves attending project meetings, sharing updates, and clarifying data requirements or standards. Effective communication is key, as you may need to explain metadata nuances or resolve discrepancies by coordinating with various departments. This teamwork ensures that metadata aligns with organizational goals and supports seamless content discovery and management.

What are the most commonly searched types of Metadata Analyst jobs in Texas?

The most popular types of Metadata Analyst jobs in Texas are:

What cities in Texas are hiring for Hourly Metadata Analyst jobs?

Cities in Texas with the most Hourly Metadata Analyst job openings:

Infographic showing various Hourly Metadata Analyst job openings in Texas as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Enterprise Data Platform Architect

Vaco by Highspring

Irving, TX • On-site

Other

Dental, Vision, Retirement

Re-posted 18 days ago


Job description

Enterprise Data Platform Architect
DETAILS
Location: Irving, TX 75039 (4days [M-TH] per week onsite)
Position Type: Direct-Hire
Hourly / Salary: to $170K+ (based on experience level)
JOB SUMMARY
Vaco is currently seeking a Data Architect for a Direct-Hire opportunity that is located in Irving, TX 75039 (4days [M-TH] per week onsite).  The Enterprise Data Platform Architect will modernize and standardize the enterprise data ecosystem as it continues to grow through acquisitions. The Enterprise Data Platform Architect will define enterprise data architecture across OnPrem SQL Server / DB2 environments and MS Azure / Fabric, consolidating data from multiple ERP, CRM, and operational systems into a governed Lakehouse platform. Beyond designing the architecture, the Enterprise Data Platform Architect individual will establish enterprise standards for data modeling, governance, master data, security, DevOps, and observability while providing technical leadership to Data Engineering, BI, and DBA teams. The primary objective of the Enterprise Data Platform Architect will be to establish a governed, enterprise-ready MS Fabric platform that restores consistency, standardization, and trusted enterprise reporting while building a scalable, acquisition-ready data foundation that supports continued growth through acquisitions.
  • Enterprise Platform Governance / Professionalization / Standardization – Governing PowerBI / MS Fabric / SQL Server / DB2 Environments While Standardizing Enterprise Platforms / Eliminating Technical Debt / Establishing CI/CD / Monitoring / Observability / Production Data Operations
  • Enterprise Observability / Orchestration – Establishing Enterprise Monitoring / Telemetry / Alerting / New Relic Observability / Control-M Scheduling Standards Supporting Reliable / Highly Available Enterprise Data Platforms
  • Establishing Enterprise Security / Access Controls / RLS / CLS / Metadata Standards / Compliance Supporting Secure Enterprise Analytics
  • Enterprise Lakehouse Architecture – Designing Governed / Scalable Lakehouse Platforms Integrating ERP / CRM / Operational Systems
  • Enterprise Data Standards / Governance – Defining Enterprise Data Modeling / MDM / Metadata / Data Lineage / Data Stewardship / Semantic Layer / Data Quality / Security Standards Supporting Trusted Enterprise Data
  • Post-Merger Data Integration – Leading Data Integration / Platform Consolidation / Cloud Modernization Initiatives Supporting Current / Future Acquisitions
  • Business / Technology Partnership – Partnering With Business / Technology Leadership to Deliver Scalable / Secure / Acquisition-Ready Data Platforms Supporting Enterprise Reporting / Analytics / Business Intelligence
  • Technical Leadership / Knowledge Transfer – Providing Architectural Direction / Mentoring Data Engineering / BI / DBA Teams While Partnering with Existing Consulting Resources to Ensure Successful Knowledge Transfer and Long-Term Platform Ownership

About the Project: This project is focused on transforming a fragmented enterprise data environment into a governed, enterprise-ready Microsoft Fabric platform. The goal is to standardize architecture, governance, and enterprise reporting across SQL Server, DB2, Azure, and Fabric while building a scalable Lakehouse that supports trusted analytics and simplifies future acquisition integrations.
JOB REQUIREMENTS
  • Enterprise Data Architecture (8+ years) – Designing Enterprise Data Platforms Across Hybrid OnPrem SQL Server / DB2 / MS Azure / MS Fabric Environments Supporting Modern Cloud Data Architectures
  • Enterprise Data Integration / Distribution – Integrating ERP / CRM / Operational Systems While Defining Enterprise Data Syndication Strategies Supporting Analytics / Downstream Applications / Operational Systems
  • MS Data Platform – Designing MS Fabric Lakehouse Architectures (Azure Data Factory / Azure SQL / Azure Synapse / ADLS Gen2) | Supporting Enterprise Reporting / Analytics / Operational Data Consumption
  • SQL Server / DB2 Architecture – Designing / Optimizing Enterprise SQL Server / DB2 Environments (Performance Tuning / HA/DR / Database Optimization / Platform Standardization)
  • Enterprise BI Governance – Standardizing Business-Created PowerBI Assets / Governing Microsoft Fabric Workspaces / Semantic Models / Enterprise Reporting Standards
  • Platform Modernization – Modernizing Legacy SQL Server Platforms / Eliminating Technical Debt / Leading Enterprise Cloud Migration / Platform Standardization Initiatives
  • Enterprise Data Modeling / MDM – Designing Canonical Data Models / Semantic Layers / Enterprise Master Data Strategies Supporting Consistent Business Reporting
  • Enterprise Data Governance – Implementing Metadata Management / Data Lineage / Data Quality / Security / Certification Standards Supporting Trusted Enterprise Data
  • M&A Data Integration – Supporting M&A Data Integration / Platform Consolidation / Enterprise Data Onboarding
  • DevOps / SDLC – Establishing CI/CD Pipelines / SDLC Standards / Deployment Automation / Version Control | Supporting Enterprise Data Platform Delivery
  • Technical / Cross-Functional Leadership – Providing Enterprise Architecture Leadership While Partnering Across Data Engineering / BI / DBA / Infrastructure / Security Teams
 
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.