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Data Model Jobs in Arizona (NOW HIRING)

Data Modeler

Globe, AZ · On-site

$52 - $67.50/hr

The Data Modeler designs conceptual, logical, and physical schemas to support the organization's data architecture. They develop comprehensive source-to-target mapping documents that define the ...

Data Architect

Globe, AZ · On-site

$60.50 - $78/hr

Data modeling: The ability to design and create a conceptual, logical, and physical representation of data. These skills are crucial for organizing data effectively within a database. a data ...

Principle Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and ...

Data Engineer II

Scottsdale, AZ

$115K - $139K/yr

You will bring practical experience in data processing and modeling within a data environment, including expertise in data modeling, test automation, and building reliable, trusted, and efficient ...

Adobe AEP engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Modeling Creating and managing XDM schemas and datasets to structure customer data for unified profiles * Data Ingestion Integration Skills to collect data from various sources using connectors ...

Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements * Collaborate with site and sector leadership to identify opportunities for ...

Business Data Analyst I

Goodyear, AZ · On-site

$70K - $115K/yr

Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements * Collaborate with site and sector leadership to identify opportunities for ...

This role will leverage fairlife's Unified Factory Data Model (UFDM) and analytics platform to create reporting and analytic solutions to enable operational decision making at each of the factories ...

Building Information Modeler (BIM) 5

Phoenix, AZ · On-site

$54.25 - $70.50/hr

... data management practices, including file structure, surfaces, references, and model integrity across project lifecycles. • Apply firm and client standards, workflows, and QC procedures to all ...

Data engineer

Tempe, AZ

$111K - $133K/yr

Translate business requirements into functional Varicent models, including data models, workflows, calculations, and reports. Configure compensation plans, quotas, crediting rules, and incentive ...

Building Information Modeler (BIM) 5

Phoenix, AZ · On-site

$54.25 - $70.50/hr

Maintain robust data management practices, including file structure, surfaces, references, and model integrity across project lifecycles. Apply firm and client standards, workflows, and QC procedures ...

Data Architect(33397)

Phoenix, AZ

$63.25 - $81.50/hr

Responsibilities will also include metadata management, business semantics, data modeling, and metadata workflow management. Creation of metadata registry and allow domain-specific stakeholders to ...

Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Design and implement data models optimized for analytics, warehousing, and reporting use cases * Partner with BI Analysts to manage client reporting requirements and support data-driven insights

Data Engineer

Tempe, AZ

$111K - $133K/yr

Design and implement data models optimized for analytics, warehousing, and reporting use cases * Partner with BI Analysts to manage client reporting requirements and support data-driven insights

Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Design and implement data models optimized for analytics, warehousing, and reporting use cases * Partner with BI Analysts to manage client reporting requirements and support data-driven insights

Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Design and implement data models optimized for analytics, warehousing, and reporting use cases * Partner with BI Analysts to manage client reporting requirements and support data-driven insights

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Data Model information

What is the difference between Data Model vs Data Analyst?

AspectData ModelData Analyst
Primary RoleDesigns and structures data for databases and systemsAnalyzes data to generate insights and reports
Skills & CertificationsDatabase design, data modeling, SQL, certifications like CDMPData analysis, statistics, Excel, SQL, certifications like CAP or Microsoft Data Analyst
Work EnvironmentWorks with database systems, data warehouses, IT teamsWorks with business teams, reports, dashboards, data visualization tools
Industry UsageUsed in database design, data architecture, software developmentUsed in business intelligence, reporting, data-driven decision making

While Data Modelers focus on designing the structure of data systems, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills, but their primary objectives differ: one builds the foundation, the other analyzes the data.

What are the 4 types of data models?

Data models are classified into four main types: conceptual, logical, physical, and view models. Conceptual models define high-level data structures, logical models specify detailed structures without regard to physical storage, physical models describe how data is stored in hardware, and view models focus on specific user perspectives. Data modelers and database administrators often use these types to design and optimize databases effectively.

What is the salary of a data modeler?

The salary of a data modeler typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled data modelers with expertise in database design, data warehousing, and tools like SQL or ER modeling tend to earn higher salaries.

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 database systems and data modeling techniques is essential for this role.

Will AI replace data modelers?

AI tools can automate certain tasks in data modeling, such as data cleaning and pattern recognition, but data modelers are essential for designing complex data structures, interpreting business needs, and ensuring data quality. The role is evolving to include working alongside AI and developing expertise in data management and modeling techniques. Continuous learning and proficiency with modeling tools remain important for data modelers to stay relevant.
Infographic showing various Data Model job openings in Arizona as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution.

$52 - $67.50/hr

Full-time

Posted 18 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The Data Modeler designs conceptual, logical, and physical schemas to support the organization's data architecture. They develop comprehensive source-to-target mapping documents that define the transformation logic and metadata required for data integration. By applying normalization and dimensional modeling, the individual optimizes data structures for performance, scalability, and accurate business reporting.

DUTIES AND RESPONSIBILITIES:

  • Creation of the logical and physical data models for the Gold Layer, focusing on creating subject-oriented, dimensional models (e.g., Star/Snowflake schemas) optimized for high-volume query performance.

  • Define and enforce data standards, naming conventions, metadata management, and data type definitions specific to the consumption layer, ensuring semantic consistency across all critical business domains.

  • Design the required aggregation, refinement, and transformation logic (Business Rule Definition) to convert standardized data from the Silver Layer into consumable, ready-to-use Gold Layer tables.

  • Develop and maintain comprehensive Source-to-Target Mappings (STMs) that detail the transformation journey from the Silver Layer source to the Gold Layer target tables.

  • Ensure the Gold Layer design scales efficiently to handle Globe Telecom's massive volume of telco data (e.g., CDRs, network logs, customer interactions) and evolving business needs.

REQUIREMENTS:

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related quantitative field.

  • Experience in SQL and familiarity with at least one scripting language (Python or Scala) for data transformation.

Advantage if you have:

  • Familiarity in designing and optimizing dimensional models (Kimball methodology) for large-scale data sets.

  • Familiarity in modern cloud data platforms (e.g., AWS, Azure, or GCP) and related Big Data technologies (e.g., Spark/Databricks, Snowflake, or similar cloud data warehouse technologies).

  • Deep understanding of the Medallion Architecture (Bronze, Silver, Gold Layers) and the specific function of the Gold/Consumption Layer

  • Experience in the Telecommunications industry or a similar high-volume transactional sector is a plus.

  • Certifications related to Cloud Data Architecture (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer, or Databricks Certified Data Engineer) is a plus.

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.