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Metadata Manager Jobs in Austin, TX (NOW HIRING)

Lead Data Architect (P4)

Austin, TX · On-site

  • Medical

  • Retirement

Serve as the data design authority, governing data models, integration patterns, metadata management, and data quality standards. * Architect and implement Master Data Management (MDM) solutions ...

Benthic Biologist

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Metadata Management * Scientific Writing * Technical Presentations Compensation: The anticipated salary range for this position depends on the candidate's qualifications, relevant scientific ...

Manages platform admin functionalities including Installations/ Configuration , Upgrades, Patches, Change management, Performance tuning, Standards/ Best Practices, Mentoring, Metadata Management ...

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

Experience with data observability, data catalog , or metadata management tools * Experience working with healthcare data ( X12, FHIR ) * Proven experience in data migration projects (legacy ...

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

Experience with data observability, data catalog , or metadata management tools * Experience working with healthcare data ( X12, FHIR ) * Proven experience in data migration projects (legacy ...

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

Experience with data observability, data catalog , or metadata management tools * Experience working with healthcare data ( X12, FHIR ) * Proven experience in data migration projects (legacy ...

Manages platform admin functionalities including Installations/ Configuration , Upgrades, Patches, Change management, Performance tuning, Standards/ Best Practices, Mentoring, Metadata Management ...

Showing results 41-60

Metadata Manager information

See Austin, TX salary details

$26.8K

$79.6K

$134.1K

How much do metadata manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for metadata manager in Austin, TX is $79,645.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,800.00 and $113,600.00 per year, depending on experience, location, and employer.

What is a metadata manager?

Metadata Managers are professionals responsible for organizing, maintaining, and overseeing the metadata that describes data assets within an organization. Their role ensures that information about data—such as its source, format, ownership, and usage—is accurately recorded and easily accessible. This helps improve data governance, enables efficient data retrieval, and supports compliance with data regulations. Metadata Managers often collaborate with IT, data governance, and business teams to implement metadata standards and tools.

How does a metadata manager typically collaborate with other departments within an organization?

A Metadata Manager frequently works cross-functionally with departments such as IT, data governance, business intelligence, and compliance to ensure consistent data definitions and standards. This role involves facilitating communication between technical teams and business stakeholders to align data cataloging practices with organizational goals. Metadata Managers often lead training sessions, develop documentation, and help teams understand the importance of metadata quality, making collaboration and strong interpersonal skills key parts of the job.

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

To thrive as a Metadata Manager, you need strong expertise in data management, metadata standards, taxonomy, and information architecture, typically supported by a related degree in library science, information management, or computer science. Familiarity with metadata management tools (e.g., Collibra, Informatica), data catalog systems, and knowledge of data governance frameworks is essential. Attention to detail, analytical thinking, and effective communication are critical soft skills for collaborating with stakeholders and ensuring data quality. These skills and qualifications are crucial for organizing, standardizing, and maximizing the value of organizational data assets.

What is the difference between Metadata Manager vs Data Analyst?

AspectMetadata ManagerData Analyst
Required CredentialsBachelor's degree in Information Science, Data Management, or related field; certifications like CDMPBachelor's degree in Statistics, Data Science, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, data governance officesBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in organizations with large data repositories, data governance, and compliance needsUsed across industries for data-driven decision making, reporting, and insights

While both roles involve working with data, a Metadata Manager focuses on organizing, maintaining, and ensuring the quality of metadata to improve data accessibility and governance. A Data Analyst interprets data to generate insights and support business decisions. Understanding these differences helps organizations assign the right roles for their data needs.

What are the most commonly searched types of Metadata jobs in Austin, TX?

The most popular types of Metadata jobs in Austin, TX are:

What are popular job titles related to Metadata Manager jobs in Austin, TX?

For Metadata Manager jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Metadata Manager jobs in Austin, TX look for?

The top searched job categories for Metadata Manager jobs in Austin, TX are:

What cities near Austin, TX are hiring for Metadata Manager jobs?

Cities near Austin, TX with the most Metadata Manager job openings:

Infographic showing various Metadata Manager job openings in Austin, TX as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $79,645 per year, or $38.3 per hour.

Enterprise Data Architect

Siritech Solutions Corp

Austin, TX • Hybrid

Full-time

Re-posted 3 days ago


Job description


Enterprise Data Architect (Data Management Strategy & Data Warehouse Modernization)

Total Required Experience in Years: 18+ Years

Mode of Work: Hybrid (3Days Onsite / 2 Days Remote), Texas locals only


Seeking an experienced Enterprise Data Architect to lead enterprise-wide Data Management Strategy and Data Warehouse Modernization initiatives. The consultant will provide strategic leadership in designing next-generation enterprise data platforms, cloud-based analytics solutions, and modern data architectures that support digital transformation, advanced analytics, and AI-driven decision making.

The ideal candidate will possess deep expertise in enterprise data architecture, cloud data platforms, modern data warehouses, data governance, emerging technologies, and enterprise architecture frameworks while collaborating with executive leadership and technical teams to define long-term data strategies and implementation roadmaps.

Key Responsibilities:
  • Lead enterprise Data Management Strategy development.

  • Define enterprise data architecture and modernization roadmaps.

  • Design next-generation cloud-native data warehouse solutions.

  • Architect enterprise data platforms supporting current and future business needs.

  • Develop execution plans, implementation roadmaps, and cost estimates.

  • Evaluate and recommend enterprise data technologies and platforms.

  • Lead technology selection and solution architecture activities.

  • Design scalable enterprise data integration and analytics architectures.

  • Develop customer engagement strategies for enterprise data initiatives.

  • Assist in defining enterprise data management organizational structure.

  • Drive cloud enablement and digital transformation initiatives.

  • Architect Data Lake, Lakehouse, Data Mesh, and Data Fabric solutions.

  • Implement enterprise Data Governance, Metadata Management, and Master Data Management (MDM) strategies.

  • Collaborate with business and technical stakeholders to align data initiatives with organizational objectives.

  • Anticipate project risks, bottlenecks, and technical constraints while recommending mitigation strategies.

  • Provide thought leadership on emerging technologies, AI/ML integration, and modern analytics platforms.

  • Prepare architecture documentation, executive presentations, and strategic recommendations.

  • Mentor technical teams and establish enterprise architecture best practices.

Required Skills:
  • Enterprise Data Architecture

  • Enterprise Data Management

  • Data Management Strategy

  • Data Warehouse Modernization

  • Cloud Data Platforms

  • Microsoft Azure

  • Amazon Web Services (AWS)

  • Google Cloud Platform (GCP)

  • Snowflake

  • Azure Synapse Analytics

  • Google BigQuery

  • Amazon Redshift

  • Databricks

  • Microsoft Fabric

  • Delta Lake

  • Data Lake Architecture

  • Lakehouse Architecture

  • Data Mesh

  • Data Fabric

  • Data Governance

  • Master Data Management (MDM)

  • Metadata Management

  • Data Quality Frameworks

  • ETL/ELT Architecture

  • Azure Data Factory

  • Informatica

  • Talend

  • dbt

  • Fivetran

  • Enterprise Solution Architecture

  • Cloud Architecture

  • Hybrid Cloud

  • TOGAF

  • Zachman Framework

  • AI/ML Integration

  • Generative AI

  • Docker

  • Kubernetes

  • Serverless Computing

  • DevOps

  • DataOps

Preferred Skills:
  • Decision Sciences

  • Digital Transformation

  • Enterprise Analytics

  • Business Intelligence

  • Cloud Migration

  • Enterprise Integration

  • Performance Optimization

  • Data Security

  • Executive Stakeholder Management

  • Strategic Technology Planning

Required Qualifications:
  • Bachelor\'s Degree in Computer Science, Information Systems, Engineering, or related field (or equivalent work experience).

  • Minimum 18 years of enterprise IT experience.

  • Extensive experience with Enterprise Data Management Architecture.

  • Experience designing enterprise data modernization solutions.

  • Experience developing enterprise solution architectures.

  • Experience implementing cloud-based enterprise data platforms.

  • Experience architecting solutions using emerging technologies and modern enterprise data landscapes.

  • Experience supporting State or Local Government agencies (minimum 2 years).

  • Strong leadership, presentation, communication, and stakeholder management skills.

  • Experience leading enterprise digital transformation initiatives.

Preferred Qualifications:
  • Experience leading enterprise Data Warehouse modernization projects.

  • Experience with Data Mesh and Data Fabric architectures.

  • Experience with AI/ML and Generative AI integration into enterprise analytics.

  • Experience with enterprise architecture frameworks such as TOGAF or Zachman.

  • Experience implementing modern cloud-native analytics platforms.

  • Experience mentoring enterprise architecture and data engineering teams.

Deliverables:
  • Enterprise Data Management Strategy

  • Data Architecture Roadmaps

  • Enterprise Solution Architecture

  • Cloud Data Platform Architecture

  • Data Warehouse Modernization Strategy

  • Technology Evaluation Reports

  • Data Governance Framework

  • Enterprise Data Models

  • Implementation Roadmaps

  • Cost Estimates

  • Executive Presentations

  • Architecture Diagrams

  • Technical Standards

  • Strategic Recommendations

  • Knowledge Transfer Documentation

Education:
  • Bachelor\'s Degree in Computer Science, Information Systems, Engineering, or related field (or equivalent work experience).