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Metadata Library Jobs in Austin, TX (NOW HIRING)

... artifact library: reusable prompts, golden examples, known failure modes, troubleshooting guidance, and acceptance criteria * Establish versioning standards and metadata practices (ownership ...

Maintain file naming conventions, version control, tagging, metadata, and structured organization across imaging libraries * Accurately record work in project tracking tools and communicate queue ...

Serve as the CAD Librarian for interconnect components by creating, validating, and maintaining symbols, parts, connector families, and metadata within the CAD environments. Required Qualifications ...

Serve as the CAD Librarian for interconnect components by creating, validating, and maintaining symbols, parts, connector families, and metadata within the CAD environments. Required Qualifications ...

Manage assets, links, metadata, tags and page properties. * Ensure content accuracy, brand ... Overall 6+ years, minimum of 4 years of experience in Web Publishing, Content Management, Library ...

Manage the agency's digital media asset library, including file organization, archiving, and metadata management. * Assist with live event production, livestreams, and virtual broadcasts as needed.

Contracts Manager

Austin, TX · On-site

$88K - $118K/yr

Manage contract records, metadata, and reporting within Ironclad to ensure accurate, searchable ... Create, maintain, and update commercial contract templates, clause libraries, and negotiation ...

Maintain file naming conventions, version control, tagging, metadata, and structured organization across imaging libraries * Accurately record work in project tracking tools and communicate queue ...

Contracts Manager

Austin, TX · On-site

$88K - $118K/yr

Manage contract records, metadata, and reporting within Ironclad to ensure accurate, searchable ... Create, maintain, and update commercial contract templates, clause libraries, and negotiation ...

Showing results 41-60

Metadata Library information

See Austin, TX salary details

$8

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$27

How much do metadata library jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for metadata library in Austin, TX is $18.52, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $20.96 per hour, depending on experience, location, and employer.

What is a metadata librarian?

Metadata librarians are information professionals who manage and organize metadata, which is data that describes other data, for library collections. They create, edit, and maintain metadata records to ensure resources are discoverable, accessible, and properly described in library catalogs and digital repositories. Their work supports searchability, digital preservation, and resource sharing by applying standards and best practices for cataloging. Metadata librarians often collaborate with IT staff, archivists, and subject specialists to enhance user access to library materials.

What skills and qualifications are needed to thrive as a metadata librarian?

To thrive as a Metadata Librarian, you need expertise in cataloging standards (such as MARC, Dublin Core), metadata schema, and information organization, usually supported by a Master's in Library Science or a related field. Familiarity with integrated library systems (ILS), metadata management tools, and knowledge of cataloging software like OCLC Connexion is typical. Attention to detail, analytical thinking, and strong communication skills help ensure accuracy and facilitate collaboration with library staff. These skills and qualities are crucial to maintaining accessible, well-organized digital and print collections that support user discovery and research.

What are common challenges faced by professionals working in a metadata library role, and how can they be addressed?

Professionals in a metadata library role often encounter challenges such as maintaining consistency and accuracy in metadata standards across diverse collections, keeping up with evolving cataloging guidelines, and integrating new technologies or platforms. Addressing these challenges typically involves ongoing training, collaboration with colleagues to develop clear metadata policies, and staying informed about industry best practices. Regular communication with IT teams and subject specialists is also key to ensuring that metadata effectively supports discoverability and access for library users.

What is the difference between Metadata Library vs Metadata Specialist?

AspectMetadata LibraryMetadata Specialist
CredentialsTypically requires a degree in library science, information management, or related fieldsRequires similar credentials, often with additional certifications in data management or information systems
Work EnvironmentLibraries, archives, or information centers managing large metadata collectionsData-driven organizations, digital repositories, or information management teams
Employer & IndustryLibraries, museums, archives, academic institutionsTech companies, publishing, digital content providers
Search & Comparison IntentUnderstanding library metadata management rolesSpecialized data and metadata management tasks

The main difference is that a Metadata Library focuses on managing metadata within library and archival settings, while a Metadata Specialist handles metadata in broader digital and data environments. Both roles require similar credentials but serve different industry needs.

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

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

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

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

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

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

Infographic showing various Metadata Library job openings in Austin, TX as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $38,517 per year, or $18.5 per hour.

Finance Data Architect

Q2

Austin, TX • On-site

Full-time

Medical

Re-posted 8 days ago


Job description

As passionate about our people as we are about our mission.

Why Join Q2?

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.


What Makes Q2 Special?

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 ChangeMakers awards program and global moments of recognition and connection. We invest in the growth and development of our team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun and giving back together. From company-wide volunteer days to events like our Q2 Homecoming Week-featuring learning, community service, and culture-building experiences-we create opportunities to connect, grow, and make an impact.


SUMMARY

Finance at Q2 operates on enterprise data that lives across a complex, multi-system landscape - Snowflake and beyond. This role exists because that data is not yet consistently usable. The Finance Data Architect closes that gap by owning two interconnected capabilities: building and governing finance-ready semantic models and curated datasets drawn from Q2's full data estate, and authoring the AI workflow infrastructure - skills files, agent prompts, MCP context layers, and documentation - that allows Finance to execute complex, recurring processes repeatably and at scale.

This is a builder role, not a consumer role. The right candidate has done this work before: translating messy, distributed enterprise data into trusted, finance-ready outputs, and standing up agentic workflow patterns that hold up under real business conditions. The role sits within Finance and partners closely with Data/Architecture, Enterprise Solutions, and AI Enablement functions across Q2.

RESPONSIBILITIES

Finance Data Engineering & Semantic Modeling

  • Map, connect, and rationalize Finance-relevant data across Q2's full data estate - Snowflake and distributed upstream sources - establishing canonical source alignment and lineage documentation for each Finance domain

  • Design and maintain curated datasets purpose-built for Finance consumption: expense forecasting inputs, revenue and COGS drivers, headcount and compensation, and other key reporting and planning inputs

  • Partner with FP&A, Accounting, and FinOps stakeholders to define semantic models that encode metric definitions, dimensionality, calculation logic, and source-of-truth alignment in a form downstream systems and AI agents can reliably consume

  • Establish anddrive adherence ofnaming standards, data quality checks, refresh cadences, and model documentation as part of a Finance semantic layer contract

  • Build lightweight validation and reconciliation processes that drive trust and adoption across Finance data consumers

  • Build trust through auditability of modeled data

AI Workflow Infrastructure & MCP Layer Ownership

  • Own the Finance MCP layer: design and maintain the context, definitions, guardrails, and grounding structures that enable AI agents to operate accurately within Finance workflows

  • Author and version markdown-based skills, agent prompts, and workflow files that operationalize recurring Finance tasks - variance narratives, forecast driver updates, close support analyses, executive dashboard refresh,earnings narrative updates,and others as the library grows

  • Create and maintain a Finance AI artifact library: reusable prompts, golden examples, known failure modes, troubleshooting guidance, and acceptance criteria

  • Establish versioning standards and metadata practices (ownership, approval status, context dependencies) for all Finance AI artifacts

  • Partner with enterprise AI Enablement teams to ensure agents and tools are grounded in approved semantic definitions and operate within Finance governance guardrails

Cross-Functional Partnership & Enablement

  • Serve as the connective layer between Finance and Q2's enterprise data ecosystem; align with Data/Architecture and Enterprise Solutions on upstream transformations, governance standards, and canonical source decisions

  • Drive adoption through documentation, demos, and stakeholder enablement - translating technical outputs into Finance-accessible language and practice

  • Identify and surface process improvement and automation opportunities across Finance workflows, bringing forward use cases grounded in data and feasibility

  • Flexible mindset to operate with ambiguitywhile continuing todrive teams forward

  • Continuously learn and evolve as applied technologies mature and new technologies arise.

EXPERIENCE AND KNOWLEDGE

Required

  • Bachelor's degree in Finance, Accounting, Analytics, Information Systems, or related field plus 5-7 years of relevant experience; advanced degree with 3-5 years; or equivalent demonstrated experience

  • Proven ability to navigate and rationalize distributed enterprise data environments - not just Snowflake-native work, but connecting and harmonizing data across multiple source systems

  • Strong SQL capability and hands-on experience working in Snowflake or equivalent cloud data warehouse environments

  • Demonstrated experience building semantic models, curated datasets, or data layer contracts that translate raw enterprise data into business-facing outputs

  • Demonstrated ability to design and structureAI workflow infrastructure:includingbuilding prompt libraries, authoring agent skills or context files, or structuring MCP / retrieval-grounding layersOR a proven track record of rapidly acquiring and applying emerging technical capabilities in a production environment

  • Exceptional written communication and documentation skills, including the ability to write for both technical and non-technical audiences

  • Proven cross-functional influence as an individual contributor - earns trust through technical credibility and clear communication, not organizational authority

Preferred

  • Finance domain depth in FP&A, expense forecasting, or revenue modeling in a SaaS or public-company environment

  • Familiarity with enterprise planning and reporting tools (Anaplan, Power BI, Tableau) and experience designing semantic layers that feed them accurately

  • Experience building internal documentation systems, playbooks, or knowledge bases in a markdown-first environment

  • Exposure to AI evaluation frameworks: prompt quality assessment, hallucination reduction patterns, agent guardrail design, or output validation

  • Comfort operating in an environment where the tooling is established but the patterns are still being built - a builder's orientation, not an implementer's

This position requires fluent written and oral communication in English.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Health & Wellness

  • Hybrid Work Opportunities

  • Flexible Time Off

  • Career Development & Mentoring Programs

  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents

  • Community Volunteering & Company Philanthropy Programs

  • Employee Peer Recognition Programs - "You Earned it"

Click here to find out more about the benefits we offer.

Our Culture & Commitment:

We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.


Applicants in California or Washington State may not be exempt from federal and state overtime requirements


Q2 logo

About Q2

Sourced by ZipRecruiter

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Austin, TX, US

Year founded

2004