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Master Data Jobs in Austin, TX (NOW HIRING)

Data Analytics Engineer

Austin, TX · On-site

$108K - $129K/yr

Understanding of data governance and master data management practices. * Experience working in Agile environments. * Relevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering ...

Data PM

Austin, TX · On-site

$51.25 - $69.50/hr

... master data management principles, data governance frameworks, and large-scale data quality improvement initiatives. • Proven ability to capture/document requirements, assess business impacts and ...

Data Analytics Engineer

Austin, TX · On-site

$110 - $160/hr

Understanding of data governance and master data management practices. * Experience working in Agile environments. * Relevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering ...

Data Analytics Engineer

Austin, TX · On-site

$90 - $140/hr

Understanding of data governance and master data management practices. * Experience working in Agile environments. * Relevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering ...

Data Architect

Austin, TX · On-site +1

$63.25 - $81.25/hr

Experience with data architecture, specifically in support of data warehousing, business intelligence, master data management, and reference data management * Familiarity with delivering Data as a ...

Sr. Business Analyst - MDM

Austin, TX · On-site

$91K - $118K/yr

The Sr. Business Analyst - MDM will play a critical role in bridging the gap between business needs and IT solutions for Master Data Management and data-related initiatives. This role involves ...

New

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Master Data Management principles and best practices Preferred Qualifications (Bonus) * Experience with database management * Experience handling healthcare data formats (e.g. Pharmacy Claims data ...

Data Governance- Manager

Austin, TX · On-site

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

Data Strategy-Manager

Austin, TX · On-site

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data ...

Showing results 41-60

Master Data information

See Austin, TX salary details

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$43

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How much do master data jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for master data in Austin, TX is $43.96, according to ZipRecruiter salary data. Most workers in this role earn between $30.24 and $54.81 per hour, depending on experience, location, and employer.

What is a master data professional?

Master Data professionals are specialists who manage, maintain, and ensure the accuracy of an organization's core data assets, such as customer, product, supplier, and employee information. They play a vital role in establishing data standards, improving data quality, and supporting business processes by keeping key data consistent and reliable across systems. Their work helps organizations make better decisions, comply with regulations, and operate efficiently.

What are some common challenges faced by professionals in master data roles, and how can they be effectively managed?

One common challenge in Master Data roles is ensuring data consistency and accuracy across multiple systems and departments. Data discrepancies can arise due to varying data entry standards or system integrations, making it essential to implement robust data governance processes. Collaboration with IT, business analysts, and end users is often required to establish clear data ownership, standardization practices, and validation routines. Regular audits and continuous communication across teams help maintain high data quality and prevent errors from propagating throughout the organization.

What are the key skills and qualifications needed to thrive as a master data specialist, and why are they important?

To thrive as a Master Data Specialist, you need strong analytical skills, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Familiarity with ERP systems like SAP or Oracle, data governance frameworks, and certifications such as CDMP are typically valued. Excellent communication, problem-solving, and organizational skills help you collaborate effectively and resolve data issues. These skills ensure accurate, consistent, and reliable data, which is critical for organizational decision-making and operational efficiency.

What is the difference between Master Data vs Data Analyst?

AspectMaster DataData Analyst
Required CredentialsBachelor's degree in Business, IT, or related fields; certifications like CDMP are commonBachelor's degree in Statistics, Mathematics, or related fields; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting environments
Employer & Industry UsageUsed across industries for maintaining consistent core dataUsed across industries for insights, reporting, and decision-making

Master Data professionals focus on maintaining and managing the core data that supports business operations, ensuring data accuracy and consistency. Data Analysts interpret and analyze data to generate insights and support decision-making. While both roles work with data, Master Data roles are more data governance-oriented, whereas Data Analysts focus on data analysis and reporting.

Is master data a good career?

Master Data roles involve managing and maintaining core business information such as customer, product, and supplier data. These positions require attention to detail, data management skills, and familiarity with tools like ERP systems, making them stable and in-demand within data management and enterprise operations. Career growth can lead to roles in data governance, analytics, or data management leadership.

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

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

What are popular job titles related to Master Data jobs in Austin, TX?

For Master Data jobs in Austin, TX, the most frequently searched job titles are:

What cities near Austin, TX are hiring for Master Data jobs?

Cities near Austin, TX with the most Master Data job openings:

Infographic showing various Master Data job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,436 per year, or $44 per hour.

Enterprise Architect for HHSC, Austin, Tx

Pedigo Staffing Services

Austin, TX • Remote

$68.50 - $88.25/hr

Full-time

Re-posted 25 days ago


Key responsibilities

  • Translate business requirements into specific systems, applications, or process designs with financial modeling for large complex solutions.

  • Construct detailed solutions including process, technology, staffing plans, and risk assessments for customer service and sales opportunities.

  • Design and implement master data solutions for a multi-terabyte MDM system, ensuring data quality, governance, and integration across programs.


Job description

Title: Enterprise Architect 3
Agency: Texas Health and Human Services Commission
Solicitation: 529701740R
Location: 4601 W. Guadalupe Street, Austin, TX 78701
Telework Policy: Position will be remote. Program will allow candidates who are within the state (Any location within the State of Texas).
Duration: On-going, no ending date
Visa: Must be US Citizen, Green Card, EAD. No H1B
Requirements/Preferences:
  • 8 years, Required - Advanced Informatica and ETL developer skills
  • 8 years, Required - Experience and understanding of Enterprise Information Management best practices
  • 8 years, Required - Experience designing and implementing Master Data Management solutions
  • 8 years, Required - Experience designing and implementing Informatica PowerCenter custom solutions
  • 8 years, Required - Experience with Erwin and ERStudio data modeling tools or equivalent functional toolsets
  • 8 years, Required - Strong Communication, analytical and interpersonal skills at all levels
  • 8 years, Required - Proven ability to work successfully with technical and non-technical groups and manage multiple responsibilities
  • 8 years, Required - Strong technical writing skills
  • 5 years, Preferred - Some experience as an Oracle DBA desired, but not required
  • 5 years, Preferred - Experience installing and configuring Informatica Metadata Manager architecture
  • 5 years, Preferred - Experience architecting Master Data Management solutions
  • 4 years, Preferred - Bachelor's degree in Computer Science, Systems Engineering or equivalent experience
Job Description:
  • Responsible for translating the client's business requirements into specific systems, applications or process designs with interlocked financial modeling for very large complex technical solutions.
  • Analyzes customer service requirements and designs service solutions to meet those objectives.
  • Primary expert to construct the specific solution, scope document, risk profile, and corresponding financials.
  • Maintains and utilizes detailed industry and internal services knowledge in the construction of industry-leading services solutions, including expert working level knowledge of the processes, technologies, and people components involved in the services arena.
  • Uses expertise to construct specific and detailed solutions that encompass process, technology, and staffing plans for customer sales opportunities.
  • Constructs risk assessments and corresponding remediation plans relative to complex services proposals.
  • Participates in the construction of detailed financial models that align with complex services proposals.
  • Composes Statement of Work or other documents, using departmental automation tools as available, to craft detailed and accurate deliverables that specify processes, technology, staffing, and project management involved in proposed services solutions.
  • As needed, provide a "trusted expert advisor" role as a Subject Matter Expert for technical services, to both internal and external customers, ranging from formal advice to internal and external customer presentations.
  • Follow all organizational Standard Operating Procedures relative to cost modeling, approvals and reviews, and all other associated workflow and deliverables.
HHSC IT is continuing to develop a Master Data Management (MDM) function under the Performance Management & Analytics System (PMAS) on the Enterprise Information Management (EIM) team. This development effort will utilize an agile methodology based upon the approach currently in use at HHSC for the Performance Management & Analytics System (PMAS). As a lead and member of the EIM team, the worker responsibilities may include:
Overview:
  • The MDM Architect position is an Information Technology (IT) position and will be a part of the Enterprise Information Management (EIM) team working in collaboration with the Office of Data Analytics & Performance (DAP) within the Health and Human Services System’s business domain.
  • This architect designs and implements master data solutions for a multi-terabyte Master Data Management (MDM) implementation.
  • The mission of EIM is to ensure HHS master data is visible, accessible where appropriate, understandable in context, trusted by users, and uniformly governed in order to advance data quality and support integrated data analytics in the Integrated Continuum of Care Analytics initiative.
  • This enables data-driven decision making across the HHS system.
The worker:
  • Has an excellent understanding of MDM principles, goals, and tools and how these relate to overall HHS data quality and cross-program data integrations.
  • Is responsible for development and implementation of new MDM capabilities using the Informatica application tool stack in IDMC.
  • Works collaboratively with EIM program staff, with HHSC Information Technology (IT) resources, and MDM business analysts to implement new program requirements for mastering critical agency data, identity resolution, trusted attribution, and governed reference data.

Consultant will be able to demonstrate extensive experience in:
  • Developing MDM solutions for healthcare provider and managed care member domains (using an Informatica tool stack).
  • Developing extract/transform/load processes for HHS system data into MDM applications (using Oracle, Snowflake and Informatica tools).
  • Developing, testing, and maintenance of enhancements/upgrades to MDM application layer(s).
  • Working closely with EIM data architects, HHS subject matter experts, and HHS system data models to accurately represent as-is and to-be process models involving HHS master data.
  • Operational responsibility for metadata loads.
  • Planning and monitoring MDM/Metadata project lifecycle deployment using agile methods.
  • Ensuring that the build and deployment of the MDM components are of high quality and comply HHSC IT coding and security standards.
Strategic Liaison and Translation
  • Work with program areas and project sponsor to plan and execute multiple analytics projects asynchronously. 
  • Explain project findings and data limitations in simple, non-technical language to agency leadership and program staff.
AI Prompting and Data Synthesis
  • Develop and refine effective AI prompts and query strategies to retrieve and synthesize master data for complex data domains.
  • Develop a library of standardized prompts and query templates for common reporting needs.
  • Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
  • Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
  • Promote a data-driven culture by enabling and empowering all staff to effectively utilize data and AI.
  • Stay up to date on new AI and data analytics tools and techniques to continuously improve program competencies.
Collaboration and Problem-Solving
  • Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.
  • Provide expert guidance to program staff on interpreting data trends and answering complex data questions.