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Data Modeling Jobs in Austin, TX (NOW HIRING)

Data Architect (BI / Data Modeling / Power BI) Location: Austin, TX (Remote for Anywhere in Texas) Duration: 3 Years Must have : Oil & Gas Industry Primary Skills: Data Architecture, Data Modeling ...

Data Modeler

Austin, TX · On-site

$54.25 - $70.50/hr

Employ data modeling tools and associated graphical methods to depict and analyze current and proposed conceptual, logical, and physical data schema. * Creates reusable error-free DDL scripts for the ...

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Partner with the Analytics and Data Modeling Group to ensure alignment on data modeling standards, schema design, and integration with data pipelines. Architect efficient ETL/ELT pipelines for data ...

... data and integration technologies (e.g., ESB ETL, EAI). 2+ years experience working with data ... modeling techniques (e.g., BPM, UML, ER). 3+ years of experience working with Enterprise ...

Work with data domain teams and the enterprise modeling team to understand both the domain-level data models and the enterprise data model to determine if fit for purpose for new project intake or if ...

Design Databases Data Modeling Apply Data Modeling Techniques to IT Solutions Apply Data Modeling Techniques Advise on Data Warehouse Deployments Advise on Data Integration Issues Apply Application ...

Data Engineer

Austin, TX · On-site

$55 - $70/hr

This role will focus on analyzing existing Hierarchical Data Models (HDM), understanding complex transformation logic, and converting them into scalable, production-ready Data Warehouse (DW ...

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Data Modeling information

See Austin, TX salary details

$10

$58

$82

How much do data modeling jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data modeling in Austin, TX is $58.20, according to ZipRecruiter salary data. Most workers in this role earn between $52.16 and $67.69 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Modeling position, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What is a Data Modeling job?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

Will data modeling be replaced by AI?

Data modeling is a fundamental skill for data modelers, and while AI tools can assist in automating certain tasks like generating schemas or analyzing data patterns, they do not fully replace the need for human expertise in designing, validating, and understanding complex data structures. Data modelers will continue to play a critical role in ensuring data quality and integrity, often working alongside AI technologies. Proficiency in data modeling tools and concepts remains essential for the role.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

What does a typical day look like for someone working in Data Modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures using tools like ER diagrams and modeling languages. It requires strong analytical skills, knowledge of database systems, and often benefits from certifications such as Certified Data Management Professional (CDMP). The role offers opportunities in various industries with a typical work environment focused on data accuracy and efficiency.

What does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of data management, modeling techniques, and database systems is essential for this role.
What are the most commonly searched types of Data Modeling jobs in Austin, TX? The most popular types of Data Modeling jobs in Austin, TX are:
What job categories do people searching Data Modeling jobs in Austin, TX look for? The top searched job categories for Data Modeling jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Modeling jobs? Cities near Austin, TX with the most Data Modeling job openings:
Infographic showing various Data Modeling job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,049 per year, or $58.2 per hour.
BI Data Architect (Data Modeling)

BI Data Architect (Data Modeling)

Hireblazer

Austin, TX • Remote

$80 - $100/hr

Contractor

Posted 14 days ago


Job description

Role: Data Architect (BI / Data Modeling / Power BI)

Location: Austin, TX (Remote for Anywhere in Texas)

Duration: 3 Years

Must have : Oil & Gas Industry

Primary Skills: Data Architecture, Data Modeling, Power BI, Tableau, SSRS, ETL/ELT, Data Warehousing, KPI Metrics, Data Governance, SQL, Mainframe (IMS/COBOL/JCL), Enterprise Reporting.

Summary:

The Data Architect will be responsible for designing, developing, and maintaining the data architecture that supports enterprise reporting, analytics, and business intelligence needs. This role ensures that data structures, reporting models, and integration patterns are scalable, reliable, and aligned with business requirements. The architect will collaborate closely with enterprise architects, business stakeholders, data engineers, report developers, and IT leadership to deliver highquality reporting solutions that drive informed decisionmaking.

The ideal candidate brings strong analytical skills, experience working with legacy systems, and a solid understanding of modern data platforms, reporting tools, and integration patterns.

All work products resulting from the project shall be considered "works made for hire" and are the property of the client.

Job Description

Design and maintain reporting data models, including fact and dimension structures, semantic layers, and reporting datasets. Define and document data architecture standards, best practices, and governance guidelines. Ensure data models support business KPIs, operational reporting, dashboards, and advanced analytics. Partner with enterprise architects and data engineering teams to design efficient ETL/ELT pipelines and data integration workflows. Translate business requirements into scalable reporting data structures and data flows.

Other responsibilities include partnering with crossfunctional teams (IT, business, data governance, reporting teams) to align on data strategy and architecture. Provide guidance and mentorship to report developers and analysts on data modeling and best practices.

Essential Job Duties

Lead the design of scalable data solutions that support future growth and modernization initiatives.

Collaborate with reporting teams to ensure consistent definitions, calculations, and metrics across the organization.

Support the creation of reusable data assets for BI tools such as Power BI, or similar platforms.

Work closely with business units and mainframe team to understand reporting needs, KPI definitions, and analytical goals.

Ensure data accuracy, consistency, and integrity across reporting environments.

Establish and enforce data governance standards, including naming conventions, metadata, and documentation.

Support compliance with security, privacy, and regulatory requirements.

Troubleshoot complex data issues and provide architectural direction for resolution.

Required Skills:

8+ Years of Required Strong experience in data modeling (star schema, snowflake schema, semantic modeling).

6+ Years of Required Handson experience with enterprise reporting platforms (e.g., Power BI, Tableau, SSRS).

8+ Years of Required Ability to translate business requirements into technical data structures.

8+ Years of Required Skill with Microsoft Office tools, particularly with Word, Excel, Power Point, Visio, and SharePoint

6+ Years of Required Familiarity with KPI design, business metrics, and analytical methodologies.

8+ Years of Required Ability to interpret data models, data dictionaries, and technical documentation.

4+ Years of Required Knowledge of data governance frameworks and metadata management.

6+ Years of Required Experience in working in fast-paced and ever-changing environments; achieving project s deliverables and deadlines; exercising sound judgment in making critical decisions; analyzing complex information and developing plans to address identified issues.

2 Years of Required Skill in interpersonal relationships, including the ability to work with people under pressure, negotiate among multiple parties, resolve conflicts, and establish and maintain effective working relationships with various levels of personnel.

Preferred Skills:

3+ Years of Preferred Familiarity with mainframe systems (IMS, COBOL files, JCL, batch processes)

2+ Years of Preferred Knowledge of local, state, and federal laws and regulations (PII) relevant to data management and data governance

5+ Years of Preferred Experience in data focused projects, like moving from Legacy to newer systems.