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Sr Data Modeler Jobs in Arizona (NOW HIRING)

IntraEdge

Senior Solutions Data Architect

Scottsdale, AZ

$68.75 - $91.75/hr

Under minimal Supervision the Senior Data and Solutions Architect provides vision, direction, as ... Develops and documents data models; ensuring that data is defined and searchable; collaborates with ...

First Citizens Bank

$66.75 - $89.25/hr

Knowledge of Data Mesh and Data Product operating models. * TOGAF, CDMP, SnowPro, AWS, or equivalent certifications. Experience * 12+ years of experience in Data Engineering, Data Architecture ...

First Citizens Bank

$66.75 - $89.25/hr

Knowledge of Data Mesh and Data Product operating models. * TOGAF, CDMP, SnowPro, AWS, or equivalent certifications. Experience * 12+ years of experience in Data Engineering, Data Architecture ...

PayPal

Sr Data Scientist

Scottsdale, AZ

$123K - $183K/yr

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role ...

Koantek

Data Scientist

Chandler, AZ · On-site

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Build and optimize machine learning models for classification, regression, predictive analytics ...

Koantek

Data Scientist

Chandler, AZ

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Build and optimize machine learning models for classification, regression, predictive analytics ...

Phoenix Staff

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Job Title: Data Engineer (Mid-Level to Senior) Location: Hybrid / Onsite as needed (project ... Solid understanding of database design (relational modeling, normalization/denormalization)

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Sr Data Modeler information

What is a Sr Data Modeler?

Sr Data Modelers are experienced professionals responsible for designing, creating, and maintaining data models that define how data is stored, organized, and accessed within an organization. They work closely with business analysts, database administrators, and software developers to ensure that data structures support business processes and analytics needs. Senior Data Modelers play a key role in translating business requirements into technical specifications, optimizing data flow, and ensuring the integrity and security of data. Their expertise helps organizations make better data-driven decisions and achieve efficient data management.

How does a Sr Data Modeler typically collaborate with business analysts and developers during a project?

A Sr Data Modeler often works closely with business analysts to understand the data requirements and translate them into conceptual, logical, and physical data models. They also collaborate with developers to ensure that the database design aligns with application needs and performance standards. Regular meetings, data mapping sessions, and design reviews are common, fostering open communication to address any data integrity or scalability concerns early in the process. This collaborative approach ensures that the final data models are both technically robust and aligned with business goals.

What are the key skills and qualifications needed to thrive as a Sr Data Modeler, and why are they important?

A Sr Data Modeler needs expertise in data modeling concepts, database design, and a strong grasp of SQL, typically backed by a degree in computer science or a related field. Familiarity with tools like ERwin, IBM InfoSphere Data Architect, and experience with relational and NoSQL databases are essential, and certifications in data management can be advantageous. Strong analytical thinking, clear communication, and the ability to collaborate with diverse stakeholders set top performers apart in this role. These skills ensure the creation of scalable, accurate data models that support business intelligence and enable effective decision-making.

What is the difference between Sr Data Modeler vs Data Analyst?

AspectSr Data ModelerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related; experience with data modeling toolsBachelor's in Statistics, Data Science, or related; proficiency in data visualization and analysis tools
Work EnvironmentDesigning data structures, creating data models, collaborating with data engineersInterpreting data, generating reports, supporting decision-making
Employer & Industry UsageUsed in data warehousing, BI projects, and database design across industriesApplied in business analysis, marketing, finance, and operations

The main difference is that Sr Data Modelers focus on designing and implementing data structures and models, while Data Analysts interpret data and generate insights. Both roles require strong analytical skills, but Data Modelers are more involved in the technical architecture of data systems.

What are popular job titles related to Sr Data Modeler jobs in Arizona?

For Sr Data Modeler jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Sr Data Modeler jobs in Arizona look for?

The top searched job categories for Sr Data Modeler jobs in Arizona are:

Sr Data Modeler jobs near you
Infographic showing various Sr Data Modeler job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Senior Solutions Data Architect

Scottsdale, AZ

IntraEdge
IT Services • 1 - 5K employees
Learn more about IntraEdgeexternal

$68.75 - $91.75/hr

Full-time

Re-posted 11 days ago

Job description

Under minimal Supervision the Senior Data and Solutions Architect provides vision, direction, as well as hands-on technical expertise in designing and building analytics solutions that support enterprise decision support, strategic insights and data science initiatives. In partnership with Enterprise Architecture and IT Engineering teams, this role will drive the company's
 analytics technology roadmap, aligning information assets and analytics capabilities to achieve business objectives of strategic initiatives, programs and projects leveraging the powerful capabilities of a modern analytics platform.
 
Essential Duties and Responsibilities:
  • Drives the company's  enterprise analytics architecture to support enterprise insights and decision-making architecture leveraging established architecture disciplines.
  • Leverages knowledge of the organization's information, application, and infrastructure environment as well as the current technology landscape to design a holistic and optimized analytics platform.
  • Define strategies to operationalize analytics supporting capabilities in discovery, analysis, and reporting across business segments.
  • Analyze, shape, and prioritize data and analytics technologies to business capabilities aligning to current requirements along with future needs without significant rework.
  • Perform hands-on solution design, solution architectures, architecture roadmaps, prototyping, proof-of-concepts, and development tasks as required in support of projects and products as requested.
  • Develops SQL queries to extensively to research, understand and relate distributed data repositories across enterprise.
  • Develops and documents data models; ensuring that data is defined and searchable; collaborates with various users across the organization to capture output/ process changes and revise data models.
  • Supports Data Science team in the approach to implement advanced analytical models and supporting data pipelines as well and developing the strategies and approaches for Analytics as a Service.
  • Ensures accurate documentation of data assets; identifies critical gaps in information domain through a combination of workshops, interviews and internal analysis of various documentation.
  • Partners effectively with MDM (Master Data Management), Data SMEs and other stakeholders (Sponsors, Product solutions architects etc.) to design solutions, including identifying and filling critical gaps.
  • Develops and maintains data artifacts and acts as a liaison between ETL, integration, Data Science and BI team(s) to support development of data solutions.
  • Plan, design, and monitor these security, usability and stability of the analytics platform to help ensure that it complies with enterprise standards and that it performs adequately as additional analytics solutions are implemented.
  • Act as a liaison between Technical team, Functional team, Business Functions, and System Integrators to drive architecture solutions.
  • Document and proficiently explain complex architectures to technical and functional peers and-as needed--to other levels of the organization.
  • Ability to support: translation of business needs into solution architecture requirements, application of multiple technical solutions to business problems, and estimation of the financial impact of solution architecture alternatives.
  • Work with other product team(s) to define data dictionary, data lineage and relationship metrics.
  • Stays current on the latest technologies, trends and strategies.
Other duties as assigned.

Qualifications:
  • This position requires a minimum of eight years of progressive analytics architecture experience.
  • This position requires a minimum of five years of experience with business process design and improvement.
  • Experience in developing integrated solutions involving process, data, and technology.
  • Strong conceptual, strategic thinking, problem solving, technical, and analytical skills
  • Corporate retail experience is preferred including, but not limited to, data handling in a cloud-based environment, data governance, data quality and in database management and operations.
  • Proven understanding of end-to-end flows and processes of enterprise data.
  • Proven ability to collaborate with data SMEs and developers across the organization.
  • Hands-on / In-depth experience in following tools, technologies & Concepts such as, SQL (advanced level), Data management, Master Data Management (preferred customer data focus), Business Intelligence, SOA, Microservices and Content Management.
  • Hands on experience in data profiling, data extraction and data validation.
  • Understanding of Data Science methodologies/concepts including general statistical concepts, machine learning, feature engineering and artificial intelligence.
  • Demonstrated experience of metadata concepts including but not limited to items collection, repositories, technical and/or business content and data lineage.
  • Experience in creating logical and physical data models are required. Understanding of Kimball's methodology is required.
  • Experience working with data lake(s) and understanding of various frameworks and methodologies used around Hadoop or Hadoop like systems.
  • Experience working in mission critical ODS and Enterprise Data Warehouse environments.
  • Experience with AWS frameworks, data tools and environment.
  • Understanding of data architecture practices and governance methodologies.
  • Proficiency with Microsoft Office, including skills with Word, Excel, SharePoint, PowerPoint, and Visio is required.
  • Proven understanding of project management and the software development lifecycle is required.
  • Demonstrated business acumen with knowledge and understanding of business issues, priorities, goals, and strategy is necessary.
  • Demonstrated ability to communicate across all levels of the organization, presenting complex ideas concisely and clearly articulate ideas verbally and in writing is necessary.
  • Proven ability to work efficiently and accurately under pressure, meet deadlines and present a professional demeanor is essential.
  • Customer service skills, including the ability to manage and respond to different customer situations while maintaining a positive and friendly attitude are essential.
  • In addition, organizational and problem-solving skills, a can-do attitude, and the ability to adjust to changing requirements are essential.
Educational Requirements:
This position requires a Bachelor's Degree in information technology, Computer Science, Computer Engineering, Data Science, Statistics, Mathematics or a related field, or equivalent work experience.
Education:Employment Type: FULL_TIME
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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