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Metadata Analyst Jobs in Austin, TX (NOW HIRING)

Strong understanding of modern data platforms, analytics platforms, semantic modeling, data quality, governance, MDM, metadata, lineage, access controls, and cloud data architecture concepts.

New

Strong understanding of modern data platforms, analytics platforms, semantic modeling, data quality, governance, MDM, metadata, lineage, access controls, and cloud data architecture concepts.

New

SAP BTP Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

... metadata management, data quality, and data governance practices. • Understanding of data architectures that support analytics, AI, and regulatory requirements. • Experience integrating SAP data ...

Data Governance, Metadata Management Company : Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the ...

Data Architect

Austin, TX · On-site

$62.50 - $80.50/hr

... data analytical and quality tools 10 Extensive experience and domain knowledge in the areas of ... metadata 8 Extensive architecture experience and knowledge in the areas of Reference Data, Data ...

Showing results 41-60

Metadata Analyst information

See Austin, TX salary details

$30.7K

$72.6K

$128.8K

How much do metadata analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for metadata analyst in Austin, TX is $72,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $86,200.00 per year, depending on experience, location, and employer.

What is a metadata analyst?

A Metadata Analyst is responsible for organizing, managing, and maintaining metadata—structured information about data—within an organization. They ensure that data assets are accurately categorized, labeled, and accessible, improving searchability and data governance. Their role often involves working with databases, content management systems, and metadata standards to enhance data quality and consistency. Additionally, they collaborate with IT, data management, and business teams to ensure metadata aligns with organizational goals.

What are some typical challenges a metadata analyst might face in their daily work?

Metadata Analysts often encounter challenges such as managing large volumes of diverse data, ensuring metadata consistency across multiple systems, and navigating evolving data privacy regulations. Staying current with industry standards and adapting metadata frameworks to support new business needs can also be demanding. Working closely with IT, data governance, and business teams, Metadata Analysts must balance competing priorities and address data quality issues proactively. Overcoming these challenges helps enhance data findability, compliance, and overall organizational efficiency.

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

To thrive as a Metadata Analyst, a solid understanding of data management, database concepts, metadata standards, and a degree in information science, library science, or a related field is key. Familiarity with metadata management tools, data cataloging platforms, and systems like SQL, XML, and DAM (Digital Asset Management) systems, as well as certifications such as Certified Data Management Professional (CDMP), are often beneficial. Strong attention to detail, analytical thinking, and effective communication are essential soft skills that help with collaborating across departments. These combined skills ensure data is accurately organized, discoverable, and valuable for organizational decision-making and compliance.

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

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

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

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

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

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

Infographic showing various Metadata Analyst job openings in Austin, TX as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $72,600 per year, or $34.9 per hour.

Data Product Manager

IT America

Austin, TX • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Position: Data Analytics with Product Management

Location: Austin, Texas Hybrid (3D onsite, 2D Remote)

Duration: 12+ Months

Job Description:

  • At least 10+ years of experience in product management, data platform delivery, analytics delivery, data engineering, enterprise technology delivery, or related roles.
  • Experience managing product backlogs, roadmaps, epics, features, user stories, acceptance criteria, prioritization routines, and stakeholder engagement for data or technology platforms.
  • Experience working with enterprise data platforms, cloud data ecosystems, lakehouse or warehouse environments, data pipelines, data quality, governance, metadata, lineage, semantic layers, BI platforms, or MDM capabilities.
  • Experience with modern data and analytics technologies such as Databricks, Azure, Power BI, MicroStrategy, Snowflake, SQL, Python, Spark, orchestration tools, catalog or governance platforms, and data quality tooling preferred
  • Experience supporting agile delivery teams in a scrum master, delivery lead, product owner, or product manager capacity.

Skills Required:

  • Strong product management mind-set with ability to define value, prioritize demand, sequence delivery, manage trade-offs, and communicate roadmap decisions clearly.
  • Working knowledge of SQL, data pipelines, ETL / ELT, analytics consumption patterns, dash boarding, data validation, platform observability, and cloud platform concepts.
  • Strong understanding of modern data platforms, analytics platforms, semantic modeling, data quality, governance, MDM, metadata, lineage, access controls, and cloud data architecture concepts.
  • Ability to translate complex technical needs into business-oriented product outcomes, delivery increments, acceptance criteria, and executive-ready updates.
  • Strong agile delivery facilitation skills, including backlog refinement, sprint planning, dependency management, impediment removal, release coordination, and retrospective-driven improvement.